Step_4_clustering_KMeans.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering\n",
    "\n",
    "Consider hierarchical methods. Since these should be able to extract concepts better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "------------------------------------------------------\n",
      "Step 4:  K Means \n",
      "Starting at 2018-02-22 15:31:20.834306\n",
      "------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "print('------------------------------------------------------')\n",
    "print('Step 4:  K Means ')\n",
    "from datetime import datetime as dt\n",
    "t_start = dt.now()\n",
    "print('Starting at', t_start)\n",
    "print('------------------------------------------------------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# Import dependencies\n",
    "import pickle\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from sklearn.cluster import KMeans\n",
    "from datetime import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# Configure\n",
    "from config import Config as c\n",
    "# set K parameter here:\n",
    "n_clusters = c.n_clusters\n",
    "# which cluster set to use?\n",
    "# ['tsne', 'raw'] \n",
    "cluster_set = 'tsne'\n",
    "\n",
    "\n",
    "\n",
    "# other global variables:\n",
    "doi_datapath = c.dois_pkl\n",
    "word_datapath = c.word_datapath\n",
    "tfidf_datapath = c.tfidf_datapath\n",
    "vectorizer_datapath = c.vectorizer_datapath\n",
    "working_data =  c.working_data\n",
    "\n",
    "# output paths\n",
    "data_out = c.working_data\n",
    "data_out_xl = c.kmeans_out_xl\n",
    "data_out_csv = c.kmeans_out_csv\n",
    "\n",
    "# load vector data\n",
    "tfidf = pickle.load(open(tfidf_datapath,'rb'))\n",
    "vectorizer = pickle.load(open(vectorizer_datapath,'rb'))\n",
    "\n",
    "# global variable for ordering\n",
    "dois = pickle.load(open(doi_datapath,'rb'))\n",
    "data = pd.read_csv(working_data,index_col = 0)\n",
    "cites = list(data.Citations)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TfidfVectorizer(analyzer='word', binary=False, decode_error='strict',\n",
       "        dtype=<class 'numpy.int64'>, encoding='utf-8', input='content',\n",
       "        lowercase=True, max_df=1.0, max_features=5000, min_df=1,\n",
       "        ngram_range=(1, 2), norm='l2', preprocessor=None, smooth_idf=True,\n",
       "        stop_words={'can', 'from', 'un', 'she', 'must', 'become', 'not', 'yours', 'somehow', 'take', 'well', 'yourself', 'back', 'them', 'bottom', 'besides', 'thin', 'it', 'give', 'am', 'hereupon', 'less', 'use', 'cant', 'therefore', 'than', 'eight', 'please', 'ltd', 'in', 'nobody', 'ever', 'made', 'mill', ...e', 'full', 'both', 'nor', 'former', 'else', 'six', 'though', 'none', 'anything', 'myself', 'those'},\n",
       "        strip_accents=None, sublinear_tf=False,\n",
       "        token_pattern='(?u)\\\\b\\\\w\\\\w+\\\\b', tokenizer=None, use_idf=True,\n",
       "        vocabulary=None)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectorizer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Clustering AFTER dimensional reduction\n",
    "1. get which articles are in which cluster\n",
    "2. sum the tfidf for the articles in each group\n",
    "3. argsort the sum for each cluster\n",
    "4. use the argsort to pick keywords from vectorizer.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cluster t-sne data\n",
    "tsne_data = np.matrix(data[['TSNE1','TSNE2']])\n",
    "tsne_kmeans = KMeans(n_clusters=n_clusters, ).fit(tsne_data) \n",
    "tsne_centers = tsne_kmeans.cluster_centers_ # centers of each cluster\n",
    "tsne_klabels = tsne_kmeans.labels_ # cluster numbers for each paper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([19, 20,  8, ..., 22, 11, 19]), (18355, 5000))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsne_klabels, np.shape(tfidf)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Work out the most significant words in each cluster and add them as cluster keywords so that we know what each cluster is about."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((18355, 2),\n",
       " (32, 2),\n",
       " KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "     n_clusters=32, n_init=10, n_jobs=1, precompute_distances='auto',\n",
       "     random_state=None, tol=0.0001, verbose=0))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.shape(tsne_data),np.shape(tsne_centers), tsne_kmeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: matrix([[ 0.        , 10.76698098, 10.76698098, ...,  0.36999283,\n",
       "           0.        ,  0.        ]]),\n",
       " 1: matrix([[0.        , 6.02377684, 6.02377684, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 2: matrix([[ 0.27143376, 11.2702177 , 11.2369532 , ...,  0.48892425,\n",
       "           0.        ,  0.        ]]),\n",
       " 3: matrix([[ 0.13694364, 10.73677654, 10.73677654, ...,  0.        ,\n",
       "           0.        ,  0.        ]]),\n",
       " 4: matrix([[0.        , 7.43247377, 7.38395958, ..., 0.12079401, 0.        ,\n",
       "          0.        ]]),\n",
       " 5: matrix([[ 0.13791127, 20.01039614, 19.99343808, ...,  0.12816996,\n",
       "           0.        ,  0.        ]]),\n",
       " 6: matrix([[0.        , 9.24366064, 9.22675938, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 7: matrix([[0.        , 8.6865698 , 8.65316755, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 8: matrix([[ 0.        , 10.88704835, 10.87118197, ...,  0.11991409,\n",
       "           0.        ,  0.        ]]),\n",
       " 9: matrix([[0.        , 5.11034699, 5.07827033, ..., 0.12268754, 0.13398076,\n",
       "          0.13549739]]),\n",
       " 10: matrix([[0.        , 6.99968252, 6.98329745, ..., 0.        , 0.13810122,\n",
       "          0.13966449]]),\n",
       " 11: matrix([[ 0.6771214 , 13.3999619 , 13.3495015 , ...,  0.62498869,\n",
       "           0.39643624,  0.4009238 ]]),\n",
       " 12: matrix([[0.        , 9.381423  , 9.381423  , ..., 0.        , 0.24357543,\n",
       "          0.24633264]]),\n",
       " 13: matrix([[ 0.        , 12.75172275, 12.68582706, ...,  0.        ,\n",
       "           0.        ,  0.        ]]),\n",
       " 14: matrix([[0.        , 8.94738124, 8.91391566, ..., 0.        , 0.26150329,\n",
       "          0.26446344]]),\n",
       " 15: matrix([[0.        , 9.92000049, 9.92000049, ..., 0.12577299, 0.        ,\n",
       "          0.        ]]),\n",
       " 16: matrix([[0.        , 7.87200331, 7.83947327, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 17: matrix([[ 0.        , 11.30488669, 11.27105403, ...,  0.36652255,\n",
       "           0.        ,  0.        ]]),\n",
       " 18: matrix([[0.        , 8.20960331, 8.19322792, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 19: matrix([[0.        , 8.62099925, 8.57188229, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 20: matrix([[ 0.27231771, 18.39473286, 18.3136478 , ...,  0.1256767 ,\n",
       "           0.14061416,  0.        ]]),\n",
       " 21: matrix([[0.        , 5.7275447 , 5.71177594, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 22: matrix([[ 0.        , 12.35646478, 12.339843  , ...,  0.        ,\n",
       "           0.        ,  0.        ]]),\n",
       " 23: matrix([[ 0.        , 10.52007457, 10.50400562, ...,  0.        ,\n",
       "           0.1278915 ,  0.1293392 ]]),\n",
       " 24: matrix([[0.        , 5.90952202, 5.90952202, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 25: matrix([[0.13898085, 3.61091764, 3.59546221, ..., 0.25056505, 0.        ,\n",
       "          0.        ]]),\n",
       " 26: matrix([[ 0.        , 12.89929623, 12.89929623, ...,  0.        ,\n",
       "           0.        ,  0.        ]]),\n",
       " 27: matrix([[ 0.      , 11.439992, 11.439992, ...,  0.      ,  0.      ,\n",
       "           0.      ]]),\n",
       " 28: matrix([[0.13711413, 4.20629597, 4.20629597, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 29: matrix([[0.        , 8.18356625, 8.18356625, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 30: matrix([[0.        , 6.46509394, 6.46509394, ..., 0.        , 0.        ,\n",
       "          0.        ]]),\n",
       " 31: matrix([[0.        , 7.90259716, 7.90259716, ..., 0.24235602, 0.        ,\n",
       "          0.        ]])}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dct = {}\n",
    "mat = tfidf.todense() # this step kills it if dataset too large\n",
    "i = 0\n",
    "for label in tsne_klabels: # labels are cluster numbers\n",
    "    if label in dct:\n",
    "        # add together all rows with the same cluster number\n",
    "        dct[label] = dct[label] + mat[i,:]\n",
    "    else:\n",
    "        # initialise if there's nothing to add to\n",
    "        dct[label] = mat[i,:]\n",
    "    i+=1\n",
    "    \n",
    "dct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['aaa',\n",
       " 'abdomin',\n",
       " 'abdomin aortic',\n",
       " 'aberr',\n",
       " 'abil',\n",
       " 'ablat',\n",
       " 'ablat atrial',\n",
       " 'ablat background',\n",
       " 'ablat cathet',\n",
       " 'ablat patient',\n",
       " 'ablat procedur',\n",
       " 'ablat treatment',\n",
       " 'abnorm',\n",
       " 'absenc',\n",
       " 'absolut',\n",
       " 'absorb',\n",
       " 'ac',\n",
       " 'academ',\n",
       " 'acc',\n",
       " 'acc surgic',\n",
       " 'acceler',\n",
       " 'access',\n",
       " 'access site',\n",
       " 'accessori',\n",
       " 'accord',\n",
       " 'accumul',\n",
       " 'accur',\n",
       " 'accuraci',\n",
       " 'ace',\n",
       " 'ace gene',\n",
       " 'achiev',\n",
       " 'acid',\n",
       " 'acidosi',\n",
       " 'acquir',\n",
       " 'act',\n",
       " 'action',\n",
       " 'action background',\n",
       " 'action potenti',\n",
       " 'activ',\n",
       " 'activ associ',\n",
       " 'activ background',\n",
       " 'activ human',\n",
       " 'activ patient',\n",
       " 'activ protein',\n",
       " 'activ receptor',\n",
       " 'acut',\n",
       " 'acut aortic',\n",
       " 'acut cardiovascular',\n",
       " 'acut chest',\n",
       " 'acut chronic',\n",
       " 'acut coronari',\n",
       " 'acut decompens',\n",
       " 'acut effect',\n",
       " 'acut elbow',\n",
       " 'acut elev',\n",
       " 'acut heart',\n",
       " 'acut ischaem',\n",
       " 'acut ischem',\n",
       " 'acut kidney',\n",
       " 'acut limb',\n",
       " 'acut myocardi',\n",
       " 'acut pulmonari',\n",
       " 'acut respiratori',\n",
       " 'acut segment',\n",
       " 'acut stroke',\n",
       " 'acut type',\n",
       " 'ad',\n",
       " 'adamt',\n",
       " 'adapt',\n",
       " 'add',\n",
       " 'addit',\n",
       " 'adenosin',\n",
       " 'adenosin receptor',\n",
       " 'adher',\n",
       " 'adhes',\n",
       " 'adiponectin',\n",
       " 'adipos',\n",
       " 'adipos tissu',\n",
       " 'adjunct',\n",
       " 'adjust',\n",
       " 'admin',\n",
       " 'admin background',\n",
       " 'administ',\n",
       " 'administr',\n",
       " 'admiss',\n",
       " 'admit',\n",
       " 'adolesc',\n",
       " 'adrenerg',\n",
       " 'adrenerg receptor',\n",
       " 'adult',\n",
       " 'adult background',\n",
       " 'adult congenit',\n",
       " 'adult heart',\n",
       " 'adult patient',\n",
       " 'adulthood',\n",
       " 'advanc',\n",
       " 'advanc glycat',\n",
       " 'advanc heart',\n",
       " 'advers',\n",
       " 'advers cardiac',\n",
       " 'advers cardiovascular',\n",
       " 'advers event',\n",
       " 'advers outcom',\n",
       " 'advers remodel',\n",
       " 'aerob',\n",
       " 'aetiolog',\n",
       " 'affect',\n",
       " 'affect major',\n",
       " 'africa',\n",
       " 'african',\n",
       " 'african american',\n",
       " 'age',\n",
       " 'age background',\n",
       " 'age gender',\n",
       " 'age relat',\n",
       " 'age sex',\n",
       " 'age strong',\n",
       " 'age year',\n",
       " 'agent',\n",
       " 'aggrav',\n",
       " 'aggreg',\n",
       " 'aggress',\n",
       " 'agi',\n",
       " 'agi iliac',\n",
       " 'agonist',\n",
       " 'agt',\n",
       " 'aha',\n",
       " 'aim',\n",
       " 'aim demonstrat',\n",
       " 'aim furosemid',\n",
       " 'aim investig',\n",
       " 'aim report',\n",
       " 'air',\n",
       " 'air pollut',\n",
       " 'airway',\n",
       " 'akt',\n",
       " 'albumin',\n",
       " 'albuminuria',\n",
       " 'alcohol',\n",
       " 'alcohol consumpt',\n",
       " 'aldosteron',\n",
       " 'algorithm',\n",
       " 'aliskiren',\n",
       " 'allevi',\n",
       " 'allograft',\n",
       " 'allograft infect',\n",
       " 'allograft vasculopathi',\n",
       " 'alon',\n",
       " 'alpha',\n",
       " 'alteplas',\n",
       " 'alter',\n",
       " 'altern',\n",
       " 'altitud',\n",
       " 'alzheim',\n",
       " 'alzheim diseas',\n",
       " 'ambul',\n",
       " 'ambulatori',\n",
       " 'ambulatori blood',\n",
       " 'amelior',\n",
       " 'american',\n",
       " 'american colleg',\n",
       " 'american heart',\n",
       " 'ami',\n",
       " 'ami trial',\n",
       " 'amino',\n",
       " 'amiodaron',\n",
       " 'amplatz',\n",
       " 'amplitud',\n",
       " 'amput',\n",
       " 'amyloid',\n",
       " 'amyloidosi',\n",
       " 'amyloidosi background',\n",
       " 'anaesthesia',\n",
       " 'analgesia',\n",
       " 'analys',\n",
       " 'analysi',\n",
       " 'analysi aim',\n",
       " 'analysi background',\n",
       " 'analysi data',\n",
       " 'analysi observ',\n",
       " 'analysi patient',\n",
       " 'analysi plan',\n",
       " 'analysi prospect',\n",
       " 'analysi random',\n",
       " 'anatom',\n",
       " 'anatomi',\n",
       " 'anatomi background',\n",
       " 'anchor',\n",
       " 'anemia',\n",
       " 'anesthesia',\n",
       " 'aneurysm',\n",
       " 'aneurysm background',\n",
       " 'aneurysm case',\n",
       " 'aneurysm hybrid',\n",
       " 'aneurysm paraplegia',\n",
       " 'aneurysm patient',\n",
       " 'aneurysm repair',\n",
       " 'aneurysm retroperiton',\n",
       " 'aneurysm ruptur',\n",
       " 'aneurysm scaa',\n",
       " 'aneurysm seal',\n",
       " 'aneurysm subarachnoid',\n",
       " 'aneurysm supra',\n",
       " 'aneurysm surgeri',\n",
       " 'aneurysm treat',\n",
       " 'angina',\n",
       " 'angina pectori',\n",
       " 'angiogen',\n",
       " 'angiogenesi',\n",
       " 'angiogenesi background',\n",
       " 'angiograph',\n",
       " 'angiographi',\n",
       " 'angiographi background',\n",
       " 'angiographi patient',\n",
       " 'angioplasti',\n",
       " 'angioplasti background',\n",
       " 'angioplasti innomin',\n",
       " 'angioplasti multipl',\n",
       " 'angioplasti stent',\n",
       " 'angioplasti thrombosi',\n",
       " 'angiopoietin',\n",
       " 'angiotensin',\n",
       " 'angiotensin aldosteron',\n",
       " 'angiotensin convert',\n",
       " 'angiotensin induc',\n",
       " 'angiotensin receptor',\n",
       " 'angiotensin type',\n",
       " 'angiotensinogen',\n",
       " 'anim',\n",
       " 'anim model',\n",
       " 'ankl',\n",
       " 'ankl brachial',\n",
       " 'annular',\n",
       " 'annuloplasti',\n",
       " 'annulus',\n",
       " 'anomal',\n",
       " 'anomali',\n",
       " 'antagon',\n",
       " 'antagonist',\n",
       " 'antagonist oral',\n",
       " 'antagonist transesophag',\n",
       " 'antegrad',\n",
       " 'antenat',\n",
       " 'anterior',\n",
       " 'anti',\n",
       " 'anti agi',\n",
       " 'anti inflammatori',\n",
       " 'antiarrhythm',\n",
       " 'antiarrhythm drug',\n",
       " 'antibiot',\n",
       " 'antibodi',\n",
       " 'antic',\n",
       " 'antic white',\n",
       " 'anticoagul',\n",
       " 'anticoagul background',\n",
       " 'anticoagul patient',\n",
       " 'anticoagul therapi',\n",
       " 'anticoagulan',\n",
       " 'anticoagulan acut',\n",
       " 'antigen',\n",
       " 'antihypertens',\n",
       " 'antioxid',\n",
       " 'antiphospholipid',\n",
       " 'antiplatelet',\n",
       " 'antiplatelet acut',\n",
       " 'antiplatelet therapi',\n",
       " 'antithro',\n",
       " 'antithro media',\n",
       " 'antithrombot',\n",
       " 'antithrombot therapi',\n",
       " 'anxieti',\n",
       " 'anxieti depress',\n",
       " 'aorta',\n",
       " 'aorta atherosclerosi',\n",
       " 'aorta background',\n",
       " 'aorta bypass',\n",
       " 'aorta cra',\n",
       " 'aorta endarterectomi',\n",
       " 'aortic',\n",
       " 'aortic aneurysm',\n",
       " 'aortic arch',\n",
       " 'aortic balloon',\n",
       " 'aortic bifurcati',\n",
       " 'aortic ccsvi',\n",
       " 'aortic dissect',\n",
       " 'aortic repair',\n",
       " 'aortic root',\n",
       " 'aortic ste',\n",
       " 'aortic stenosi',\n",
       " 'aortic stent',\n",
       " 'aortic stiff',\n",
       " 'aortic valv',\n",
       " 'aortocav',\n",
       " 'aortocav fistula',\n",
       " 'aortoiliac',\n",
       " 'aortoiliac insuffici',\n",
       " 'aortoiliac occlus',\n",
       " 'apic',\n",
       " 'apixaban',\n",
       " 'apixaban reduct',\n",
       " 'apnea',\n",
       " 'apnoea',\n",
       " 'apo',\n",
       " 'apo mice',\n",
       " 'apolipoprotein',\n",
       " 'apoptosi',\n",
       " 'apoptosi necro',\n",
       " 'appar',\n",
       " 'appendag',\n",
       " 'appendag closur',\n",
       " 'appli',\n",
       " 'applic',\n",
       " 'apprais',\n",
       " 'approach',\n",
       " 'approach aneurysm',\n",
       " 'approach background',\n",
       " 'appropri',\n",
       " 'appropri thromboprophylaxi',\n",
       " 'arch',\n",
       " 'arch aneurysm',\n",
       " 'area',\n",
       " 'arginin',\n",
       " 'arginin suppl',\n",
       " 'aric',\n",
       " 'aric studi',\n",
       " 'aris',\n",
       " 'aristotl',\n",
       " 'aristotl trial',\n",
       " 'arm',\n",
       " 'arrest',\n",
       " 'arrest background',\n",
       " 'arrhythm',\n",
       " 'arrhythmia',\n",
       " 'arrhythmia background',\n",
       " 'arrhythmogen',\n",
       " 'arrhythmogen right',\n",
       " 'arteri',\n",
       " 'arteri access',\n",
       " 'arteri aneurysm',\n",
       " 'arteri angioplasti',\n",
       " 'arteri background',\n",
       " 'arteri blood',\n",
       " 'arteri bypass',\n",
       " 'arteri calcif',\n",
       " 'arteri calcium',\n",
       " 'arteri critic',\n",
       " 'arteri dfa',\n",
       " 'arteri diseas',\n",
       " 'arteri dissect',\n",
       " 'arteri ectasia',\n",
       " 'arteri elbow',\n",
       " 'arteri hypertens',\n",
       " 'arteri injuri',\n",
       " 'arteri intermitt',\n",
       " 'arteri intern',\n",
       " 'arteri lesion',\n",
       " 'arteri methyl',\n",
       " 'arteri occlus',\n",
       " 'arteri patient',\n",
       " 'arteri pseudoaneurysm',\n",
       " 'arteri spin',\n",
       " 'arteri steno',\n",
       " 'arteri stenosi',\n",
       " 'arteri stent',\n",
       " 'arteri stiff',\n",
       " 'arteri subclavian',\n",
       " 'arteri surgeri',\n",
       " 'arteri thrombosi',\n",
       " 'arteri transect',\n",
       " 'arteri vertebra',\n",
       " 'arteri wall',\n",
       " 'arteriol',\n",
       " 'arterioven',\n",
       " 'arterioven fistula',\n",
       " 'arterioven malform',\n",
       " 'arthriti',\n",
       " 'arthroplasti',\n",
       " 'ascend',\n",
       " 'ascend aorta',\n",
       " 'ascend aortic',\n",
       " 'asia',\n",
       " 'asian',\n",
       " 'asian popul',\n",
       " 'aspect',\n",
       " 'aspir',\n",
       " 'aspir thrombectomi',\n",
       " 'aspirin',\n",
       " 'assay',\n",
       " 'assess',\n",
       " 'assess background',\n",
       " 'assess cardiac',\n",
       " 'assess coronari',\n",
       " 'assess effect',\n",
       " 'assess left',\n",
       " 'assess non',\n",
       " 'assess optic',\n",
       " 'assist',\n",
       " 'assist coil',\n",
       " 'assist devic',\n",
       " 'associ',\n",
       " 'associ ace',\n",
       " 'associ angiotensin',\n",
       " 'associ background',\n",
       " 'associ cardiovascular',\n",
       " 'associ coronari',\n",
       " 'associ council',\n",
       " 'associ hospit',\n",
       " 'associ improv',\n",
       " 'associ increas',\n",
       " 'associ intracerebr',\n",
       " 'associ left',\n",
       " 'associ lower',\n",
       " 'associ outcom',\n",
       " 'associ pulmonari',\n",
       " 'associ reduc',\n",
       " 'associ resuscit',\n",
       " 'associ risk',\n",
       " 'associ serum',\n",
       " 'associ sever',\n",
       " 'associ studi',\n",
       " 'associ survey',\n",
       " 'associ task',\n",
       " 'astrocyt',\n",
       " 'asymmetr',\n",
       " 'asymmetr dimethylarginin',\n",
       " 'asymptomat',\n",
       " 'asymptomat carotid',\n",
       " 'asymptomat patient',\n",
       " 'ather',\n",
       " 'ather report',\n",
       " 'atherectomi',\n",
       " 'atherogen',\n",
       " 'atherogenesi',\n",
       " 'atherosclerosi',\n",
       " 'atherosclerosi background',\n",
       " 'atherosclerosi diseas',\n",
       " 'atherosclerosi mesa',\n",
       " 'atherosclerosi patient',\n",
       " 'atherosclerosi risk',\n",
       " 'atherosclerot',\n",
       " 'atherosclerot cardiovascular',\n",
       " 'atherosclerot lesion',\n",
       " 'atherosclerot plaqu',\n",
       " 'athlet',\n",
       " 'athlet background',\n",
       " 'atorvastatin',\n",
       " 'atorvastatin guidelin',\n",
       " 'atp',\n",
       " 'atria',\n",
       " 'atrial',\n",
       " 'atrial appendag',\n",
       " 'atrial arrhythmia',\n",
       " 'atrial fibril',\n",
       " 'atrial flutter',\n",
       " 'atrial function',\n",
       " 'atrial septal',\n",
       " 'atrial tachyarrhythmia',\n",
       " 'atrial tachycardia',\n",
       " 'atrial volum',\n",
       " 'atrioventricular',\n",
       " 'atrioventricular block',\n",
       " 'atrioventricular nodal',\n",
       " 'atrium',\n",
       " 'attack',\n",
       " 'attack background',\n",
       " 'attempt',\n",
       " 'attend',\n",
       " 'attenu',\n",
       " 'attitud',\n",
       " 'atyp',\n",
       " 'audit',\n",
       " 'augment',\n",
       " 'australia',\n",
       " 'australia background',\n",
       " 'australian',\n",
       " 'autoantibodi',\n",
       " 'autoimmun',\n",
       " 'autolog',\n",
       " 'autom',\n",
       " 'automat',\n",
       " 'autonom',\n",
       " 'autophagi',\n",
       " 'autophagi background',\n",
       " 'autoregul',\n",
       " 'avail',\n",
       " 'avoid',\n",
       " 'awar',\n",
       " 'axi',\n",
       " 'axi vertebr',\n",
       " 'axillari',\n",
       " 'axillo',\n",
       " 'axillo axi',\n",
       " 'axilloaxillari',\n",
       " 'axilloaxillari bypass',\n",
       " 'background',\n",
       " 'background appropri',\n",
       " 'background atrial',\n",
       " 'background cancer',\n",
       " 'background cardiac',\n",
       " 'background current',\n",
       " 'background efficaci',\n",
       " 'background ensur',\n",
       " 'background function',\n",
       " 'background impair',\n",
       " 'background infect',\n",
       " 'background larg',\n",
       " 'background late',\n",
       " 'background latest',\n",
       " 'background limit',\n",
       " 'background major',\n",
       " 'background patient',\n",
       " 'background percutan',\n",
       " 'background preval',\n",
       " 'background recent',\n",
       " 'background recommend',\n",
       " 'background sacubitril',\n",
       " 'background sinc',\n",
       " 'background statin',\n",
       " 'background studi',\n",
       " 'background tradit',\n",
       " 'balanc',\n",
       " 'balloon',\n",
       " 'balloon angioplasti',\n",
       " 'balloon expand',\n",
       " 'balloon pump',\n",
       " 'bare',\n",
       " 'bare metal',\n",
       " 'barrier',\n",
       " 'barrier background',\n",
       " 'barrier permeabl',\n",
       " 'basal',\n",
       " 'base',\n",
       " 'base cardiac',\n",
       " 'base cohort',\n",
       " 'base studi',\n",
       " 'base survey',\n",
       " 'baselin',\n",
       " 'baselin characterist',\n",
       " 'basi',\n",
       " 'basilar',\n",
       " 'basilar arteri',\n",
       " 'beat',\n",
       " 'bed',\n",
       " 'befor',\n",
       " 'behavior',\n",
       " 'behaviour',\n",
       " 'behcet',\n",
       " 'benefici',\n",
       " 'benefici effect',\n",
       " 'beneficiari',\n",
       " 'benefit',\n",
       " 'best',\n",
       " 'best practic',\n",
       " 'beta',\n",
       " 'beta adrenerg',\n",
       " 'beta blocker',\n",
       " 'better',\n",
       " 'better inform',\n",
       " 'bicuspid',\n",
       " 'bicuspid aortic',\n",
       " 'bifurc',\n",
       " 'bifurc intern',\n",
       " 'bifurcati',\n",
       " 'bifurcati periop',\n",
       " 'bilater',\n",
       " 'bilirubin',\n",
       " 'bilirubin level',\n",
       " 'bind',\n",
       " 'bind protein',\n",
       " 'biochem',\n",
       " 'biolog',\n",
       " 'biomar',\n",
       " 'biomar american',\n",
       " 'biomark',\n",
       " 'biomark patient',\n",
       " 'biopsi',\n",
       " 'bioresorb',\n",
       " 'bioresorb vascular',\n",
       " 'bipolar',\n",
       " 'birth',\n",
       " 'bivalirudin',\n",
       " 'biventricular',\n",
       " 'black',\n",
       " 'black white',\n",
       " 'bladder',\n",
       " 'bleed',\n",
       " 'bleed frequent',\n",
       " 'bleed risk',\n",
       " 'blind',\n",
       " 'blind acut',\n",
       " 'blind placebo',\n",
       " 'blind random',\n",
       " 'block',\n",
       " 'block background',\n",
       " 'blockad',\n",
       " 'blocker',\n",
       " 'blood',\n",
       " 'blood brain',\n",
       " 'blood cell',\n",
       " 'blood flow',\n",
       " 'blood pressur',\n",
       " 'blood transfus',\n",
       " 'blood volum',\n",
       " 'blue',\n",
       " 'blunt',\n",
       " 'bodi',\n",
       " 'bodi mass',\n",
       " 'bold',\n",
       " 'bolus',\n",
       " 'bone',\n",
       " 'bone marrow',\n",
       " 'bone morphogenet',\n",
       " 'bovin',\n",
       " 'bowel',\n",
       " 'brachial',\n",
       " 'brachial arteri',\n",
       " 'brachial index',\n",
       " 'brain',\n",
       " 'brain background',\n",
       " 'brain barrier',\n",
       " 'brain infarct',\n",
       " 'brain injuri',\n",
       " 'brain natriuret',\n",
       " 'branch',\n",
       " 'branch block',\n",
       " 'brazilian',\n",
       " 'breast',\n",
       " 'breast cancer',\n",
       " 'breath',\n",
       " 'bridg',\n",
       " 'brief',\n",
       " 'british',\n",
       " 'brugada',\n",
       " 'brugada syndrom',\n",
       " 'bundl',\n",
       " 'bundl branch',\n",
       " 'burden',\n",
       " 'burden patient',\n",
       " 'burden stroke',\n",
       " 'burn',\n",
       " 'bypass',\n",
       " 'bypass arteri',\n",
       " 'bypass background',\n",
       " 'bypass endovascular',\n",
       " 'bypass experi',\n",
       " 'bypass graft',\n",
       " 'bypass limit',\n",
       " 'bypass rev',\n",
       " 'bypass surgeri',\n",
       " 'bystand',\n",
       " 'caesarean',\n",
       " 'calcif',\n",
       " 'calcifi',\n",
       " 'calcineurin',\n",
       " 'calcium',\n",
       " 'calcium channel',\n",
       " 'calcium score',\n",
       " 'calcul',\n",
       " 'calf',\n",
       " 'calibr',\n",
       " 'camp',\n",
       " 'canada',\n",
       " 'canadian',\n",
       " 'cancer',\n",
       " 'cancer background',\n",
       " 'cancer cell',\n",
       " 'cancer mortal',\n",
       " 'cancer patient',\n",
       " 'cancer risk',\n",
       " 'cancer screen',\n",
       " 'candid',\n",
       " 'canin',\n",
       " 'cannul',\n",
       " 'cannula',\n",
       " 'capac',\n",
       " 'capac patient',\n",
       " 'capillari',\n",
       " 'capto',\n",
       " 'capto inform',\n",
       " 'captur',\n",
       " 'carbon',\n",
       " 'carbon dioxid',\n",
       " 'carcinoma',\n",
       " 'carcinoma background',\n",
       " 'carcinoma cell',\n",
       " 'cardiac',\n",
       " 'cardiac allograft',\n",
       " 'cardiac amyloidosi',\n",
       " 'cardiac arrest',\n",
       " 'cardiac arrhythmia',\n",
       " 'cardiac catheter',\n",
       " 'cardiac death',\n",
       " 'cardiac diseas',\n",
       " 'cardiac dysfunct',\n",
       " 'cardiac event',\n",
       " 'cardiac fibroblast',\n",
       " 'cardiac fibrosi',\n",
       " 'cardiac function',\n",
       " 'cardiac hypertrophi',\n",
       " 'cardiac implant',\n",
       " 'cardiac magnet',\n",
       " 'cardiac pace',\n",
       " 'cardiac patient',\n",
       " 'cardiac rehabilit',\n",
       " 'cardiac remodel',\n",
       " 'cardiac resynchron',\n",
       " 'cardiac safeti',\n",
       " 'cardiac structur',\n",
       " 'cardiac surgeri',\n",
       " 'cardiac troponin',\n",
       " 'cardio',\n",
       " 'cardiogen',\n",
       " 'cardiogen shock',\n",
       " 'cardiolog',\n",
       " 'cardiolog american',\n",
       " 'cardiolog background',\n",
       " 'cardiologist',\n",
       " 'cardiometabol',\n",
       " 'cardiometabol risk',\n",
       " 'cardiomyocyt',\n",
       " 'cardiomyocyt background',\n",
       " 'cardiomyopathi',\n",
       " 'cardiomyopathi background',\n",
       " 'cardiomyopathi patient',\n",
       " 'cardioplegia',\n",
       " 'cardioprotect',\n",
       " 'cardioprotect effect',\n",
       " 'cardiopulmonari',\n",
       " 'cardiopulmonari bypass',\n",
       " 'cardiopulmonari exercis',\n",
       " 'cardiopulmonari resuscit',\n",
       " 'cardiorespiratori',\n",
       " 'cardiorespiratori fit',\n",
       " 'cardiotox',\n",
       " 'cardiovascular',\n",
       " 'cardiovascular care',\n",
       " 'cardiovascular data',\n",
       " 'cardiovascular death',\n",
       " 'cardiovascular diseas',\n",
       " 'cardiovascular evalu',\n",
       " 'cardiovascular event',\n",
       " 'cardiovascular health',\n",
       " 'cardiovascular imag',\n",
       " 'cardiovascular magnet',\n",
       " 'cardiovascular mortal',\n",
       " 'cardiovascular outcom',\n",
       " 'cardiovascular prevent',\n",
       " 'cardiovascular primari',\n",
       " 'cardiovascular regen',\n",
       " 'cardiovascular risk',\n",
       " 'cardiovers',\n",
       " 'cardiovers atrial',\n",
       " 'cardiovert',\n",
       " 'cardiovert defibril',\n",
       " 'care',\n",
       " 'care background',\n",
       " 'care patient',\n",
       " 'care profess',\n",
       " 'care unit',\n",
       " 'caregiv',\n",
       " 'carotid',\n",
       " 'carotid aim',\n",
       " 'carotid arteri',\n",
       " 'carotid atherosclerosi',\n",
       " 'carotid cavern',\n",
       " 'carotid endarterectomi',\n",
       " 'carotid intima',\n",
       " 'carotid plaqu',\n",
       " 'carotid stenosi',\n",
       " 'carotid stent',\n",
       " 'carrier',\n",
       " 'case',\n",
       " 'case background',\n",
       " 'case control',\n",
       " 'case delay',\n",
       " 'case emerg',\n",
       " 'case fatal',\n",
       " 'case report',\n",
       " 'case seri',\n",
       " 'case year',\n",
       " 'catenin',\n",
       " 'cathet',\n",
       " 'cathet ablat',\n",
       " 'cathet background',\n",
       " 'cathet direct',\n",
       " 'catheter',\n",
       " 'caus',\n",
       " 'caus cardiovascular',\n",
       " 'caus death',\n",
       " 'caus mortal',\n",
       " 'cava',\n",
       " 'cava filter',\n",
       " 'cavern',\n",
       " 'cavern fistula',\n",
       " 'cavopulmonari',\n",
       " 'cavopulmonari random',\n",
       " 'ccsvi',\n",
       " 'ccsvi venous',\n",
       " 'celecoxib',\n",
       " 'celiac',\n",
       " 'cell',\n",
       " 'cell activ',\n",
       " 'cell background',\n",
       " 'cell carcinoma',\n",
       " 'cell death',\n",
       " 'cell deriv',\n",
       " 'cell diseas',\n",
       " 'cell distribut',\n",
       " 'cell line',\n",
       " 'cell migrat',\n",
       " 'cell patient',\n",
       " 'cell permeant',\n",
       " 'cell prolifer',\n",
       " 'cell promot',\n",
       " 'cell specif',\n",
       " 'cell therapi',\n",
       " 'cell transplant',\n",
       " 'cellular',\n",
       " 'center',\n",
       " 'center background',\n",
       " 'center experi',\n",
       " 'centr',\n",
       " 'centr background',\n",
       " 'centr experi',\n",
       " 'central',\n",
       " 'central venous',\n",
       " 'cere',\n",
       " 'cere acut',\n",
       " 'cerebellar',\n",
       " 'cerebr',\n",
       " 'cerebr aneurysm',\n",
       " 'cerebr arteri',\n",
       " 'cerebr blood',\n",
       " 'cerebr infarct',\n",
       " 'cerebr ischemia',\n",
       " 'cerebr oxygen',\n",
       " 'cerebr perfus',\n",
       " 'cerebr vascular',\n",
       " 'cerebr venous',\n",
       " 'cerebrospin',\n",
       " 'cerebrospin fluid',\n",
       " 'cerebrospin venous',\n",
       " 'cerebrovascular',\n",
       " 'cerebrovascular diseas',\n",
       " 'cerebrovascular reactiv',\n",
       " 'cervic',\n",
       " 'cervic cancer',\n",
       " 'cervic screen',\n",
       " 'cessat',\n",
       " 'cha',\n",
       " 'cha vasc',\n",
       " 'chad',\n",
       " 'chain',\n",
       " 'challeng',\n",
       " 'challeng background',\n",
       " 'challeng edoxaban',\n",
       " 'chamber',\n",
       " 'chang',\n",
       " 'channel',\n",
       " 'character',\n",
       " 'characterist',\n",
       " 'characterist background',\n",
       " 'characterist outcom',\n",
       " 'characterist patient',\n",
       " 'characterist random',\n",
       " 'chemic',\n",
       " 'chemokin',\n",
       " 'chemotherapi',\n",
       " 'chest',\n",
       " 'chest compress',\n",
       " 'chest pain',\n",
       " 'child',\n",
       " 'childhood',\n",
       " 'children',\n",
       " 'children adolesc',\n",
       " 'children background',\n",
       " 'chimney',\n",
       " 'china',\n",
       " 'china background',\n",
       " 'chines',\n",
       " 'chines han',\n",
       " 'chines patient',\n",
       " 'chines popul',\n",
       " 'choic',\n",
       " 'cholesterol',\n",
       " 'cholesterol guidelin',\n",
       " 'cholesterol level',\n",
       " 'chronic',\n",
       " 'chronic cerebrospin',\n",
       " 'chronic heart',\n",
       " 'chronic hepat',\n",
       " 'chronic kidney',\n",
       " 'chronic obstruct',\n",
       " 'chronic thromboembol',\n",
       " 'chronic total',\n",
       " 'chronic venous',\n",
       " 'cilostazol',\n",
       " 'circadian',\n",
       " 'circuit',\n",
       " 'circul',\n",
       " 'circul background',\n",
       " 'circul endotheli',\n",
       " 'circulatori',\n",
       " 'circulatori support',\n",
       " 'circumferenti',\n",
       " 'citi',\n",
       " 'class',\n",
       " 'classif',\n",
       " 'claudic',\n",
       " 'claudic background',\n",
       " 'clearanc',\n",
       " 'clinic',\n",
       " 'clinic angiograph',\n",
       " 'clinic characterist',\n",
       " 'clinic correl',\n",
       " 'clinic cours',\n",
       " 'clinic echocardiograph',\n",
       " 'clinic effect',\n",
       " 'clinic evalu',\n",
       " 'clinic event',\n",
       " 'clinic experi',\n",
       " 'clinic featur',\n",
       " 'clinic impact',\n",
       " 'clinic implic',\n",
       " 'clinic outcom',\n",
       " 'clinic practic',\n",
       " 'clinic present',\n",
       " 'clinic relev',\n",
       " 'clinic research',\n",
       " 'clinic result',\n",
       " 'clinic signific',\n",
       " 'clinic studi',\n",
       " 'clinic trial',\n",
       " 'clinicopatholog',\n",
       " 'clopidogrel',\n",
       " 'close',\n",
       " 'closur',\n",
       " 'closur devic',\n",
       " 'clot',\n",
       " 'cluster',\n",
       " 'cluster random',\n",
       " 'cmr',\n",
       " 'coagul',\n",
       " 'coarctat',\n",
       " 'coat',\n",
       " 'coat balloon',\n",
       " 'code',\n",
       " 'coexist',\n",
       " 'cognit',\n",
       " 'cognit declin',\n",
       " 'cognit function',\n",
       " 'cognit impair',\n",
       " 'coher',\n",
       " 'coher tomographi',\n",
       " 'cohort',\n",
       " 'cohort background',\n",
       " 'cohort patient',\n",
       " 'cohort studi',\n",
       " 'coil',\n",
       " 'coil embol',\n",
       " 'cold',\n",
       " 'collabor',\n",
       " 'collabor background',\n",
       " 'collagen',\n",
       " 'collater',\n",
       " 'collater circul',\n",
       " 'collect',\n",
       " 'colleg',\n",
       " 'colleg cardiolog',\n",
       " 'coloni',\n",
       " 'coloni stimul',\n",
       " 'colorect',\n",
       " 'colorect cancer',\n",
       " 'combin',\n",
       " 'combin therapi',\n",
       " 'committe',\n",
       " 'common',\n",
       " 'common carotid',\n",
       " 'common femor',\n",
       " 'common iliac',\n",
       " 'common outcom',\n",
       " 'common prescrib',\n",
       " 'communic',\n",
       " 'communiti',\n",
       " 'communiti aric',\n",
       " 'communiti background',\n",
       " 'communiti base',\n",
       " 'communiti dwell',\n",
       " 'communiti studi',\n",
       " 'comorbid',\n",
       " 'compar',\n",
       " 'compar effect',\n",
       " 'compar efficaci',\n",
       " 'compar studi',\n",
       " 'compar warfarin',\n",
       " 'comparati',\n",
       " 'comparati background',\n",
       " 'comparison',\n",
       " 'comparison background',\n",
       " 'comparison clinic',\n",
       " ...]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vectorizer.get_feature_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas']]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tsne_terms = vectorizer.get_feature_names() # gets the words from the vocabulary\n",
    "tsne_terms_df =[]\n",
    "for i in range(n_clusters):\n",
    "    ls_ = []\n",
    "    # get the indexes of the top 10 terms in each cluster\n",
    "    indexes = list(np.array(dct[i].argsort()[:, ::-1][0])[0])[:10] # this conversion is not very neat.\n",
    "#     print(indexes)\n",
    "    for ind in indexes:\n",
    "        ls_.append(tsne_terms[int(ind)]) \n",
    "    tsne_terms_df.append(ls_[:3])\n",
    "    \n",
    "# show first 3 cluster labels\n",
    "tsne_terms_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# quick fix\n",
    "klabels = tsne_klabels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "dois_ls = []\n",
    "for i in range(n_clusters):\n",
    "    # indices of papers that fall within ith cluster\n",
    "    indices = [j for j, x in enumerate(klabels) if x ==i]\n",
    "    # print(indices)\n",
    "    doi_ls = [dois[j][:7] + '/' + dois[j][8:] \n",
    "             for j in indices]\n",
    "    dois_ls.append(doi_ls)\n",
    "\n",
    "# len(links_ls)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Choose which clusters to add to your dataframe\n",
    "This is not the neatest solution to this.  Do something better.\n",
    "\n",
    "This part is a placeholder for later.  You potentially get better results by using higher dimensionality data, so KMeans on that data might be a worthwhile option.  Note that it is very slow and makes the final visualisation look scruffy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "if cluster_set == 'tsne':\n",
    "    terms_df = tsne_terms_df\n",
    "    centers =  tsne_centers\n",
    "    klabels = tsne_klabels\n",
    "    kmeans = tsne_kmeans"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find the best cited clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "## try dropping the top x percentile of papers \n",
    "\n",
    "nz_cites_ls = []\n",
    "mean_cites_ls =[]\n",
    "cites_ls_ls = []\n",
    "mean_outlier_ls = []\n",
    "for j in range(n_clusters):\n",
    "    # get the index for each paper in jth cluster\n",
    "    cluster_indices = [i for i, x in enumerate(klabels) if x ==j]\n",
    "    # get the citations for those indices\n",
    "    cluster_cites = [cites[i] \n",
    "                    if np.isnan(cites[i])==False \n",
    "                    else 0\n",
    "                    for i in cluster_indices] # switching NaNs to zeros in order to ensure following calculations work\n",
    "    \n",
    "    # count non-zero cites for each cluster\n",
    "    nz_cites = float(np.count_nonzero(np.array(cluster_cites)))#/len(cluster_cites))\n",
    "    nz_cites_ls.append(nz_cites) # list of nz cite counts for all clusters \n",
    "    \n",
    "    # exclude outliers\n",
    "    # ptl80 = np.percentile(cluster_cites, 80)\n",
    "#     n_outliers = 2\n",
    "#     cluster_exc_max = [cites[i]\n",
    "#                     if np.isnan(cites[i])==False \n",
    "#                     else 0\n",
    "#                     for i in cluster_indices] # switching NaNs to zeros in order to ensure following calculations work\n",
    "#     for i in range(n_outliers):\n",
    "#         max_cite = max(cluster_exc_max)\n",
    "#         cluster_exc_max.remove(max_cite) \n",
    "#     mean_outlier = np.mean(cluster_exc_max)\n",
    "#     mean_outlier_ls.append(mean_outlier)\n",
    "                     \n",
    "    # work out mean citations of each cluster\n",
    "    mean_cites = np.mean(np.array(cluster_cites))\n",
    "    mean_cites_ls.append(mean_cites)\n",
    "    \n",
    "    # add the list of citations for each item in the cluster\n",
    "    cites_ls_ls.append(cluster_cites)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a dataframe at a cluster level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\n",
    "    'Cluster': terms_df,\n",
    "    'nz_cites': nz_cites_ls,\n",
    "    'mean_cites':mean_cites_ls,\n",
    "    'cites':cites_ls_ls,\n",
    "#     'mean_outlier':mean_outlier_ls,  \n",
    "    'dois_ls':dois_ls\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "df['len_cites'] = [len(i) for i in df['cites']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# df.sort_values('mean_outlier', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "df['Cluster_no'] = df.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "df['nz_pc'] = df['nz_cites']/df['len_cites']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16487a48c88>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r = df['nz_cites'].hist(alpha=0.3)\n",
    "r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x16487a48c88>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# %matplotlib inline\n",
    "s = df['nz_pc'].hist(alpha=0.3)\n",
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "\n",
    "# p = df['mean_outlier'].hist(alpha=0.3)\n",
    "# q = df['mean_cites'].hist(alpha=0.3)\n",
    "# p,q"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['10.1016/j.ahj.2017.04.004',\n",
       " '10.1016/j.ahj.2017.08.014',\n",
       " '10.1016/j.ahj.2017.08.004']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dois[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(18355, 18355, 18355)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doi_cluster_dict = {}\n",
    "doi_clusterno_dict = {}\n",
    "for index,row in df.iterrows():\n",
    "    doi_ls = row.dois_ls\n",
    "    for doi in doi_ls:\n",
    "        doi_cluster_dict[doi] = row.Cluster\n",
    "        doi_clusterno_dict[doi] = row.Cluster_no\n",
    "\n",
    "cluster_ls = [str(\n",
    "    doi_cluster_dict[\n",
    "        doi[:7]+'/'+doi[8:]\n",
    "    ]) for doi in dois]\n",
    "\n",
    "clusterno_ls = [doi_clusterno_dict[doi[:7]+'/'+doi[8:]] for doi in dois]\n",
    "\n",
    "len(clusterno_ls),len(cluster_ls), len(dois)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>DI</th>\n",
       "      <th>PY</th>\n",
       "      <th>TI</th>\n",
       "      <th>AB</th>\n",
       "      <th>WD</th>\n",
       "      <th>AU</th>\n",
       "      <th>EM</th>\n",
       "      <th>AF</th>\n",
       "      <th>SO</th>\n",
       "      <th>SC</th>\n",
       "      <th>...</th>\n",
       "      <th>highly_cited_1</th>\n",
       "      <th>highly_cited_10</th>\n",
       "      <th>highly_cited_5</th>\n",
       "      <th>recent_citations</th>\n",
       "      <th>relative_citation_ratio</th>\n",
       "      <th>times_cited</th>\n",
       "      <th>Citations</th>\n",
       "      <th>Cluster</th>\n",
       "      <th>Cluster_no</th>\n",
       "      <th>Article_kws</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10.1016/j.ahj.2017.04.004</td>\n",
       "      <td>2017</td>\n",
       "      <td>Late outcome of percutaneous mitral commissuro...</td>\n",
       "      <td>Background Late prognosis after successful per...</td>\n",
       "      <td>Late outcome of percutaneous mitral commissuro...</td>\n",
       "      <td>Lee, S; Kang, DH; Kim, DH; Song, JM; Song, JK;...</td>\n",
       "      <td>dhkang@amc.seoul.kr; sjpark@amc.seoul.kr</td>\n",
       "      <td>Lee, Sahmin; Kang, Duk-Hyun; Kim, Dae-Hee; Son...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>15</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.1016/j.ahj.2017.08.014</td>\n",
       "      <td>2017</td>\n",
       "      <td>A unique linkage of administrative and clinica...</td>\n",
       "      <td>Background Large clinical, research, and admin...</td>\n",
       "      <td>A unique linkage of administrative and clinica...</td>\n",
       "      <td>Godown, J; Thurm, C; Dodd, DA; Soslow, JH; Fei...</td>\n",
       "      <td>justin.godown@vanderbilt.edu</td>\n",
       "      <td>Godown, Justin; Thurm, Cary; Dodd, Debra A.; S...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>5</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10.1016/j.ahj.2017.08.004</td>\n",
       "      <td>2017</td>\n",
       "      <td>Contemporary risk model for inhospital major b...</td>\n",
       "      <td>Background Major bleeding is a frequent compli...</td>\n",
       "      <td>Contemporary risk model for inhospital major b...</td>\n",
       "      <td>Desai, NR; Kennedy, KF; Cohen, DJ; Connolly, T...</td>\n",
       "      <td>robert.mcnamara@yale.edu</td>\n",
       "      <td>Desai, Nihar R.; Kennedy, Kevin F.; Cohen, Dav...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>30</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10.1016/j.ahj.2017.08.013</td>\n",
       "      <td>2017</td>\n",
       "      <td>Contemporary rates and correlates of statin us...</td>\n",
       "      <td>Background Statin therapy ishighly efficacious...</td>\n",
       "      <td>Contemporary rates and correlates of statin us...</td>\n",
       "      <td>Go, AS; Fan, DJ; Sung, SH; Inveiss, AI; Romo-L...</td>\n",
       "      <td>Alan.S.Go@kp.org</td>\n",
       "      <td>Go, Alan S.; Fan, Dongjie; Sung, Sue Hee; Inve...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>12</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10.1016/j.ahj.2017.08.006</td>\n",
       "      <td>2017</td>\n",
       "      <td>Durability of quality of life benefits of tran...</td>\n",
       "      <td>Background For patients with severe aortic ste...</td>\n",
       "      <td>Durability of quality of life benefits of tran...</td>\n",
       "      <td>Baron, SJ; Arnold, SV; Reynolds, MR; Wang, KJ;...</td>\n",
       "      <td>dcohen@saint-lukes.org</td>\n",
       "      <td>Baron, Suzanne J.; Arnold, Suzanne V.; Reynold...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>7</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10.1016/j.ahj.2017.08.016</td>\n",
       "      <td>2017</td>\n",
       "      <td>Atrial fibrillation decision support tool: Pop...</td>\n",
       "      <td>Background Appropriate thromboprophylaxis for ...</td>\n",
       "      <td>Atrial fibrillation decision support tool: Pop...</td>\n",
       "      <td>Eckman, MH; Costea, A; Attari, M; Munjal, J; W...</td>\n",
       "      <td>mark.eckman@uc.edu</td>\n",
       "      <td>Eckman, Mark H.; Costea, Alexandru; Attari, Me...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>11</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>10.1016/j.ahj.2017.08.009</td>\n",
       "      <td>2017</td>\n",
       "      <td>Outcomes in elderly and young patients with ST...</td>\n",
       "      <td>Background Since older age is a strong predict...</td>\n",
       "      <td>Outcomes in elderly and young patients with ST...</td>\n",
       "      <td>Qaderdan, K; Vos, GJA; McAndrew, T; Steg, PG; ...</td>\n",
       "      <td>jurtenberg@gmail.com</td>\n",
       "      <td>Qaderdan, Khalid; Vos, Gerrit-Jan A.; McAndrew...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>10.1016/j.ahj.2017.08.015</td>\n",
       "      <td>2017</td>\n",
       "      <td>\"Bringing on the light\" in a complex clinical ...</td>\n",
       "      <td>Background Cancer patients with recently place...</td>\n",
       "      <td>\"Bringing on the light\" in a complex clinical ...</td>\n",
       "      <td>Iliescu, CA; Cilingiroglu, M; Giza, DE; Rosale...</td>\n",
       "      <td>ciliescu@mdanderson.org</td>\n",
       "      <td>Iliescu, Cezar A.; Cilingiroglu, Mehmet; Giza,...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>26</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10.1016/j.ahj.2017.08.019</td>\n",
       "      <td>2017</td>\n",
       "      <td>Outcomes of cardiac pacing in adult patients a...</td>\n",
       "      <td>Background Cardiac pacing can be challenging a...</td>\n",
       "      <td>Outcomes of cardiac pacing in adult patients a...</td>\n",
       "      <td>Egbe, AC; Huntley, GD; Connolly, HM; Ammash, N...</td>\n",
       "      <td>egbe.alexander@mayo.edu</td>\n",
       "      <td>Egbe, Alexander C.; Huntley, Geoffery D.; Conn...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>11</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.1016/j.ahj.2017.08.017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Edoxaban for the management of elderly Japanes...</td>\n",
       "      <td>Edoxaban-a non-vitamin K antagonist oral antic...</td>\n",
       "      <td>Edoxaban for the management of elderly Japanes...</td>\n",
       "      <td>Okumura, K; Lip, GYH; Akao, M; Tanizawa, K; Fu...</td>\n",
       "      <td>okumura@hirosaki-u.ac.jp</td>\n",
       "      <td>Okumura, Ken; Lip, Gregory Y. H.; Akao, Masaha...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10.1016/j.ahj.2017.08.023</td>\n",
       "      <td>2017</td>\n",
       "      <td>Predicting risk of cardiac events among ST-seg...</td>\n",
       "      <td>Background Recent randomized evidence has demo...</td>\n",
       "      <td>Predicting risk of cardiac events among ST-seg...</td>\n",
       "      <td>Hirji, SA; Stevens, SR; Shaw, LK; Campbell, EC...</td>\n",
       "      <td>j.matthew.brennan@dm.duke.edu</td>\n",
       "      <td>Hirji, Sameer A.; Stevens, Susanna R.; Shaw, L...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.1016/j.ahj.2017.08.012</td>\n",
       "      <td>2017</td>\n",
       "      <td>Rational and design of a randomized, double-bl...</td>\n",
       "      <td>Aims Furosemide is commonly prescribed for sym...</td>\n",
       "      <td>Rational and design of a randomized, double-bl...</td>\n",
       "      <td>da Rosa, PR; Rohde, LE; Doebber, M; Ribeiro, A...</td>\n",
       "      <td>rohde.le@gmail.com</td>\n",
       "      <td>da Rosa, Priscila Raupp; Rohde, Luis E.; Doebb...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>10.1016/j.ahj.2017.08.011</td>\n",
       "      <td>2017</td>\n",
       "      <td>International trends in clinical characteristi...</td>\n",
       "      <td>Background Atrial fibrillation (AF) is the mos...</td>\n",
       "      <td>International trends in clinical characteristi...</td>\n",
       "      <td>Steinberg, BA; Gao, HY; Shrader, P; Pieper, K;...</td>\n",
       "      <td>benjamin.steinberg@hsc.utah.edu</td>\n",
       "      <td>Steinberg, Benjamin A.; Gao, Haiyan; Shrader, ...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'orbit']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>10.1016/j.ahj.2017.07.020</td>\n",
       "      <td>2017</td>\n",
       "      <td>Association between influenza vaccination and ...</td>\n",
       "      <td>Background This study was conducted to determi...</td>\n",
       "      <td>Association between influenza vaccination and ...</td>\n",
       "      <td>Chiang, MH; Wu, HH; Shih, CJ; Chen, YT; Kuo, S...</td>\n",
       "      <td>ludwigvantw@gmail.com</td>\n",
       "      <td>Chiang, Ming-Hsien; Wu, Hau-Hsin; Shih, Chia-J...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>4</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>10.1016/j.ahj.2017.07.016</td>\n",
       "      <td>2017</td>\n",
       "      <td>Comparison of prevalence and management of lef...</td>\n",
       "      <td>Background The prevalence and management of le...</td>\n",
       "      <td>Comparison of prevalence and management of lef...</td>\n",
       "      <td>Da Costa, A; Delolme, C; Guichard, JB; Gerbay,...</td>\n",
       "      <td>dakosta@orange.fr</td>\n",
       "      <td>Da Costa, Antoine; Delolme, Clarisse; Guichard...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>9</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10.1016/j.ahj.2017.07.010</td>\n",
       "      <td>2017</td>\n",
       "      <td>The relationship of renal function to outcome:...</td>\n",
       "      <td>Background The ENSURE-AF study (NCT 02072434) ...</td>\n",
       "      <td>The relationship of renal function to outcome:...</td>\n",
       "      <td>Lip, GYH; Al-Saady, N; Ezekowitz, MD; Banach, ...</td>\n",
       "      <td>g.y.h.lip@bham.ac.uk</td>\n",
       "      <td>Lip, Gregory Y. H.; Al-Saady, Naab; Ezekowitz,...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>10.1016/j.ahj.2017.07.006</td>\n",
       "      <td>2017</td>\n",
       "      <td>Design for the sacubitril/valsartan (LCZ696) c...</td>\n",
       "      <td>Background Sacubitril/valsartan (LCZ696) is an...</td>\n",
       "      <td>Design for the sacubitril/valsartan (LCZ696) c...</td>\n",
       "      <td>Shaddy, R; Canter, C; Halnon, N; Kochilas, L; ...</td>\n",
       "      <td>fabian.chen@novartis.com</td>\n",
       "      <td>Shaddy, Robert; Canter, Charles; Halnon, Nancy...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>12</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>10.1016/j.ahj.2017.08.001</td>\n",
       "      <td>2017</td>\n",
       "      <td>Rationale of a novel study design for the BIOF...</td>\n",
       "      <td>Background Traditional study design submitted ...</td>\n",
       "      <td>Rationale of a novel study design for the BIOF...</td>\n",
       "      <td>Doros, G; Massaro, JM; Kandzari, DE; Waksman, ...</td>\n",
       "      <td>lmauri@bwh.harvard.edu</td>\n",
       "      <td>Doros, Gheorghe; Massaro, Joseph M.; Kandzari,...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>10.1016/j.ahj.2017.07.015</td>\n",
       "      <td>2017</td>\n",
       "      <td>Does renal function affect the efficacy or saf...</td>\n",
       "      <td>Background The efficacy and safety of pharmaco...</td>\n",
       "      <td>Does renal function affect the efficacy or saf...</td>\n",
       "      <td>Russo, JJ; Goodman, SG; Cantor, WJ; Ko, DT; Ba...</td>\n",
       "      <td>yana@smh.ca</td>\n",
       "      <td>Russo, Juan J.; Goodman, Shaun G.; Cantor, War...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>28</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>10.1016/j.ahj.2017.07.019</td>\n",
       "      <td>2017</td>\n",
       "      <td>Regional variation in quality of life in patie...</td>\n",
       "      <td>Background Impaired quality of life (QOL) is a...</td>\n",
       "      <td>Regional variation in quality of life in patie...</td>\n",
       "      <td>Fogleman, ND; Apers, S; Moons, P; Morrison, S;...</td>\n",
       "      <td>Gruschen.veldtman@cchmc.org</td>\n",
       "      <td>Fogleman, Nicholas D.; Apers, Silke; Moons, Ph...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>5</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>10.1016/j.ahj.2017.07.017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Instantaneous wave-free ratio and fractional f...</td>\n",
       "      <td>Background Functional assessment of non-infarc...</td>\n",
       "      <td>Instantaneous wave-free ratio and fractional f...</td>\n",
       "      <td>Musto, C; De Felice, F; Rigattieri, S; Chin, D...</td>\n",
       "      <td>cmusto@hotmail.it</td>\n",
       "      <td>Musto, Carmine; De Felice, Francesco; Rigattie...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>0</td>\n",
       "      <td>['background', 'arteri', 'wave']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>10.1016/j.ahj.2017.07.018</td>\n",
       "      <td>2017</td>\n",
       "      <td>Temporal changes in infective endocarditis gui...</td>\n",
       "      <td>Background Infective endocarditis (IE) is a co...</td>\n",
       "      <td>Temporal changes in infective endocarditis gui...</td>\n",
       "      <td>Ostergaard, L; Valeur, N; Bundgaard, H; Butt, ...</td>\n",
       "      <td>laugeoestergaard@gmail.com</td>\n",
       "      <td>Ostergaard, Lauge; Valeur, Nana; Bundgaard, He...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>10.1016/j.ahj.2017.08.003</td>\n",
       "      <td>2017</td>\n",
       "      <td>Long-term outcomes of bypass grafting versus d...</td>\n",
       "      <td>Background There are limited data on comparati...</td>\n",
       "      <td>Long-term outcomes of bypass grafting versus d...</td>\n",
       "      <td>Lee, PH; Lee, JY; Lee, CW; Han, S; Ahn, JM; Pa...</td>\n",
       "      <td>cheolwlee@amc.seoul.kr</td>\n",
       "      <td>Lee, Pil Hyung; Lee, Jong-Young; Lee, Cheol Wh...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>20</td>\n",
       "      <td>['background', 'arteri', 'main']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>10.1016/j.ahj.2017.08.005</td>\n",
       "      <td>2017</td>\n",
       "      <td>Lipidmanagement in contemporary community prac...</td>\n",
       "      <td>Background The latest cholesterol guidelines h...</td>\n",
       "      <td>Lipidmanagement in contemporary community prac...</td>\n",
       "      <td>Navar, AM; Wang, TY; Li, S; Robinson, JG; Gold...</td>\n",
       "      <td>navar006@dm.duke.edu</td>\n",
       "      <td>Navar, Ann Marie; Wang, Tracy Y.; Li, Shuang; ...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>10.1016/j.ahj.2017.08.002</td>\n",
       "      <td>2017</td>\n",
       "      <td>Biochemical risk markers and 10-year incidence...</td>\n",
       "      <td>Background The recommendation for statins in p...</td>\n",
       "      <td>Biochemical risk markers and 10-year incidence...</td>\n",
       "      <td>Akintoye, E; Briasoulis, A; Afonso, L</td>\n",
       "      <td>lafonso@med.wayne.edu</td>\n",
       "      <td>Akintoye, Emmanuel; Briasoulis, Alexandros; Af...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>12</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>10.1016/j.ahj.2017.05.017</td>\n",
       "      <td>2017</td>\n",
       "      <td>Association between hospital rates of early Do...</td>\n",
       "      <td>Background Current guidelines recommend deferr...</td>\n",
       "      <td>Association between hospital rates of early Do...</td>\n",
       "      <td>Fendler, TJ; Spertus, JA; Kennedy, KF; Chan, PS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fendler, Timothy J.; Spertus, John A.; Kennedy...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>18</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>10.1016/j.ahj.2017.05.018</td>\n",
       "      <td>2017</td>\n",
       "      <td>Temporal trends and hospital-level variation o...</td>\n",
       "      <td>Background Despite significant attention to re...</td>\n",
       "      <td>Temporal trends and hospital-level variation o...</td>\n",
       "      <td>Bradley, SM; Kaboli, P; Kamphuis, LA; Chan, PS...</td>\n",
       "      <td>Steven.Bradley@va.gov</td>\n",
       "      <td>Bradley, Steven M.; Kaboli, Peter; Kamphuis, L...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>18</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>10.1016/j.ahj.2017.06.012</td>\n",
       "      <td>2017</td>\n",
       "      <td>Cumulative psychological stress and cardiovasc...</td>\n",
       "      <td>Although a growing body of evidence indicates ...</td>\n",
       "      <td>Cumulative psychological stress and cardiovasc...</td>\n",
       "      <td>Albert, MA; Durazo, EM; Slopen, N; Zaslavsky, ...</td>\n",
       "      <td>michelle.albert@ucsf.edu</td>\n",
       "      <td>Albert, Michelle A.; Durazo, Eva M.; Slopen, N...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>25</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>10.1016/j.ahj.2017.06.013</td>\n",
       "      <td>2017</td>\n",
       "      <td>Rheumatoid arthritis complicates noninvasive w...</td>\n",
       "      <td>Background Our objective was to evaluate an ag...</td>\n",
       "      <td>Rheumatoid arthritis complicates noninvasive w...</td>\n",
       "      <td>Jessee, R; Peart, E; Beineke, P; Rosenberg, S;...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Jessee, Ryan; Peart, Erica; Beineke, Phil; Ros...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>16</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>10.1016/j.ahj.2017.07.001</td>\n",
       "      <td>2017</td>\n",
       "      <td>Galectin-3 and incidence of atrial fibrillatio...</td>\n",
       "      <td>Background Galectin-3, a beta-galactoside bind...</td>\n",
       "      <td>Galectin-3 and incidence of atrial fibrillatio...</td>\n",
       "      <td>Fashanu, OE; Norby, FL; Aguilar, D; Ballantyne...</td>\n",
       "      <td>folso001@umn.edu</td>\n",
       "      <td>Fashanu, Oluwaseun E.; Norby, Faye L.; Aguilar...</td>\n",
       "      <td>AMERICAN HEART JOURNAL</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>12</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18325</th>\n",
       "      <td>10.1177/1708538113478747</td>\n",
       "      <td>2014</td>\n",
       "      <td>A rare complication after axillofemoral bypass...</td>\n",
       "      <td>Axillofemoral bypass operation is an alternati...</td>\n",
       "      <td>A rare complication after axillofemoral bypass...</td>\n",
       "      <td>Chousein, S; Yuksel, V; Geldi, O; Canbaz, S</td>\n",
       "      <td>drvyuksel@yahoo.com</td>\n",
       "      <td>Chousein, Serchat; Yuksel, Volkan; Geldi, Onur...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>7</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18326</th>\n",
       "      <td>10.1177/1708538113478759</td>\n",
       "      <td>2014</td>\n",
       "      <td>Carotid axillary artery bypass: an option foll...</td>\n",
       "      <td>Percutaneous transluminal angioplasty and sten...</td>\n",
       "      <td>Carotid axillary artery bypass: an option foll...</td>\n",
       "      <td>Orozco, V; Impellizzeri, P; Naftalovich, R; Da...</td>\n",
       "      <td>tristan65@hotmail.com</td>\n",
       "      <td>Orozco, Vicente; Impellizzeri, Paul; Naftalovi...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>26</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18327</th>\n",
       "      <td>10.1177/1708538113479731</td>\n",
       "      <td>2014</td>\n",
       "      <td>New development for aorto bifemoral bypass - a...</td>\n",
       "      <td>The classic procedure for aortobifemoral bypas...</td>\n",
       "      <td>New development for aorto bifemoral bypass - a...</td>\n",
       "      <td>Segers, B; Horn, D; Bazi, MO; Lemaitre, J; Van...</td>\n",
       "      <td>bernard_segers@stpierre-bru.be</td>\n",
       "      <td>Segers, Bernard; Horn, David; Bazi, Michel-Oli...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>29</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18328</th>\n",
       "      <td>10.1177/1708538113479514</td>\n",
       "      <td>2014</td>\n",
       "      <td>Long-term outcome after surgical and endovascu...</td>\n",
       "      <td>Subclavian artery aneurysm is a rare but serio...</td>\n",
       "      <td>Long-term outcome after surgical and endovascu...</td>\n",
       "      <td>Zehm, S; Chemelli, A; Jaschke, W; Fraedrich, G...</td>\n",
       "      <td>Sarah.Zehm@gmail.com</td>\n",
       "      <td>Zehm, Sarah; Chemelli, Andreas; Jaschke, Werne...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.54</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>20</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18329</th>\n",
       "      <td>10.1177/1708538112474259</td>\n",
       "      <td>2014</td>\n",
       "      <td>Trend of management of traumatic thoracic aort...</td>\n",
       "      <td>The purpose of this study was to review the sh...</td>\n",
       "      <td>Trend of management of traumatic thoracic aort...</td>\n",
       "      <td>Mwipatayi, BP; Boyle, A; Collin, M; Papineau, ...</td>\n",
       "      <td>bibombe@iinet.net.au</td>\n",
       "      <td>Mwipatayi, Bibombe P.; Boyle, Arwen; Collin, M...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>7</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18330</th>\n",
       "      <td>10.1177/1708538112473970</td>\n",
       "      <td>2014</td>\n",
       "      <td>The effect of recent chemotherapy in aorto-ili...</td>\n",
       "      <td>The aim of the study was to investigate the ef...</td>\n",
       "      <td>The effect of recent chemotherapy in aorto-ili...</td>\n",
       "      <td>Tsilimparis, N; Ricotta, JJ; Dayama, A; Reeves...</td>\n",
       "      <td>jjricot@emory.edu</td>\n",
       "      <td>Tsilimparis, Nikolaos; Ricotta, Joseph J.; Day...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.21</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>24</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18331</th>\n",
       "      <td>10.1177/1708538112472284</td>\n",
       "      <td>2014</td>\n",
       "      <td>Influence of the chronic abdominal aortic occl...</td>\n",
       "      <td>We design a study to evaluate whether patients...</td>\n",
       "      <td>Influence of the chronic abdominal aortic occl...</td>\n",
       "      <td>Ilic, NS; Koncar, I; Dragas, M; Golubovic, M; ...</td>\n",
       "      <td>fosafosa75@yahoo.com</td>\n",
       "      <td>Ilic, Nikola S.; Koncar, Igor; Dragas, Marko; ...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18332</th>\n",
       "      <td>10.1177/1708538112472281</td>\n",
       "      <td>2014</td>\n",
       "      <td>Renal artery pseudoaneurysm successfully treat...</td>\n",
       "      <td>Kidney injury and renal pseudoaneurysm after b...</td>\n",
       "      <td>Renal artery pseudoaneurysm successfully treat...</td>\n",
       "      <td>Tannouri, F; Maalouly, R; Salem, JF; Haddad, F</td>\n",
       "      <td>js56@aub.edu.lb</td>\n",
       "      <td>Tannouri, Fadi; Maalouly, Rina; Salem, Jean F....</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18333</th>\n",
       "      <td>10.1177/1708538112473969</td>\n",
       "      <td>2014</td>\n",
       "      <td>Cryopreserved superficial femoral artery homog...</td>\n",
       "      <td>Treatment of aortic field infections is challe...</td>\n",
       "      <td>Cryopreserved superficial femoral artery homog...</td>\n",
       "      <td>Veal, A; Oshin, O; Schober, M; Rowbern, S; Tor...</td>\n",
       "      <td>f.torella@liv.ac.uk</td>\n",
       "      <td>Veal, Andrew; Oshin, Olufemi; Schober, Mariann...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>26</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18334</th>\n",
       "      <td>10.1177/1708538112472162</td>\n",
       "      <td>2013</td>\n",
       "      <td>Coil embolization of an excluded internal ilia...</td>\n",
       "      <td>The aim of the paper is to describe open appro...</td>\n",
       "      <td>Coil embolization of an excluded internal ilia...</td>\n",
       "      <td>De Luccia, N; Sassaki, P; Santo, FE; Rosa, K; ...</td>\n",
       "      <td>nluccia@uol.com.br</td>\n",
       "      <td>De Luccia, Nelson; Sassaki, Paulo; Santo, Fabi...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.36</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18335</th>\n",
       "      <td>10.1177/1708538113478743</td>\n",
       "      <td>2013</td>\n",
       "      <td>Endovascular repair with chimney technique of ...</td>\n",
       "      <td>Abdominal aortic aneurysm (AAA) with hostile a...</td>\n",
       "      <td>Endovascular repair with chimney technique of ...</td>\n",
       "      <td>Kim, JY; Park, JY; Cho, SG; Jin, CI; Lee, WA; ...</td>\n",
       "      <td>radjeon@inha.ac.kr</td>\n",
       "      <td>Kim, Jang Yong; Park, Jae Young; Cho, Soon Gu;...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18336</th>\n",
       "      <td>10.1177/1708538113478740</td>\n",
       "      <td>2013</td>\n",
       "      <td>Carotid endarterectomy in the elderly: risk fa...</td>\n",
       "      <td>This retrospective analysis aims to demonstrat...</td>\n",
       "      <td>Carotid endarterectomy in the elderly: risk fa...</td>\n",
       "      <td>Sadideen, H; Thomson, DR; Lewis, RR; Padayache...</td>\n",
       "      <td>hazim.sadideen@doctors.org.uk</td>\n",
       "      <td>Sadideen, H.; Thomson, D. R.; Lewis, R. R.; Pa...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>20</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18337</th>\n",
       "      <td>10.1177/1708538113478748</td>\n",
       "      <td>2013</td>\n",
       "      <td>Endovascular reconstruction of iliac artery bi...</td>\n",
       "      <td>A 71-year-old male patient with severe left bu...</td>\n",
       "      <td>Endovascular reconstruction of iliac artery bi...</td>\n",
       "      <td>Vourliotakis, G; Mantas, G; Katsargyris, A; Ai...</td>\n",
       "      <td>kthanassos@yahoo.com</td>\n",
       "      <td>Vourliotakis, Georgios; Mantas, Georgios; Kats...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18338</th>\n",
       "      <td>10.1177/1708538113478761</td>\n",
       "      <td>2013</td>\n",
       "      <td>Application of preoperative brain natriuretic ...</td>\n",
       "      <td>The purpose of the study was to determine the ...</td>\n",
       "      <td>Application of preoperative brain natriuretic ...</td>\n",
       "      <td>Causey, MW; McVay, DP; Oguntoye, M; Andersen, ...</td>\n",
       "      <td>mwcausey@msn.com</td>\n",
       "      <td>Causey, Marlin Wayne; McVay, Derek P.; Oguntoy...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>5</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18339</th>\n",
       "      <td>10.1177/1708538113478772</td>\n",
       "      <td>2013</td>\n",
       "      <td>Hybrid procedures for thoracoabdominal aortic ...</td>\n",
       "      <td>We report our three-year experience with the v...</td>\n",
       "      <td>Hybrid procedures for thoracoabdominal aortic ...</td>\n",
       "      <td>Liu, Z; Zhou, M; Liu, C; Qiao, T; Huang, DA; Z...</td>\n",
       "      <td>dr_cjliiu@hotmail.com</td>\n",
       "      <td>Liu, Zhao; Zhou, Min; Liu, Chen; Qiao, Tong; H...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18340</th>\n",
       "      <td>10.1177/1708538113478755</td>\n",
       "      <td>2013</td>\n",
       "      <td>Cryopreserved saphenous vein allograft for inf...</td>\n",
       "      <td>We report our distal bypass experience with cr...</td>\n",
       "      <td>Cryopreserved saphenous vein allograft for inf...</td>\n",
       "      <td>Methodius-Rayford, W; Combs, JM; Wellons, ED; ...</td>\n",
       "      <td>wmethodi@comcast.net</td>\n",
       "      <td>Methodius-Rayford, Walaya; Combs, James M.; We...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.16</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18341</th>\n",
       "      <td>10.1258/vasc.2011.cr0327</td>\n",
       "      <td>2013</td>\n",
       "      <td>Successful endovascular treatment of a rupture...</td>\n",
       "      <td>We report our experience with a case of emerge...</td>\n",
       "      <td>Successful endovascular treatment of a rupture...</td>\n",
       "      <td>Georgakarakos, EI; Nikolopoulos, ES; Karanikas...</td>\n",
       "      <td>efstratiosgeorg@gmail.com</td>\n",
       "      <td>Georgakarakos, Efstratios I.; Nikolopoulos, Ev...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18342</th>\n",
       "      <td>10.1177/1708538112473971</td>\n",
       "      <td>2013</td>\n",
       "      <td>Syndactylization as a technique in treatment o...</td>\n",
       "      <td>The infection in vascular surgery is a nightma...</td>\n",
       "      <td>Syndactylization as a technique in treatment o...</td>\n",
       "      <td>Ilic, NS; Dragas, M; Koncar, I; Kostic, D; Pej...</td>\n",
       "      <td>fosafosa75@yahoo.com</td>\n",
       "      <td>Ilic, Nikola S.; Dragas, Marko; Koncar, Igor; ...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18343</th>\n",
       "      <td>10.1177/1708538113478413</td>\n",
       "      <td>2013</td>\n",
       "      <td>Cell death pattern of a varicose vein organ cu...</td>\n",
       "      <td>The study aimed to investigate the viability o...</td>\n",
       "      <td>Cell death pattern of a varicose vein organ cu...</td>\n",
       "      <td>Lim, CS; Kiriakidis, S; Paleolog, EM; Davies, AH</td>\n",
       "      <td>a.h.davies@imper-ial.ac.uk</td>\n",
       "      <td>Lim, Chung S.; Kiriakidis, Serafim; Paleolog, ...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>30</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18344</th>\n",
       "      <td>10.1177/1708538113478727</td>\n",
       "      <td>2013</td>\n",
       "      <td>Approach to the vascular complications of lumb...</td>\n",
       "      <td>The objective of this study was to demonstrate...</td>\n",
       "      <td>Approach to the vascular complications of lumb...</td>\n",
       "      <td>Bozok, S; Ilhan, G; Destan, B; Gokalp, O; Gune...</td>\n",
       "      <td>sahinboz@yahoo.com</td>\n",
       "      <td>Bozok, Sahin; Ilhan, Gokhan; Destan, Bugra; Go...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18345</th>\n",
       "      <td>10.1177/1708538113478719</td>\n",
       "      <td>2013</td>\n",
       "      <td>The deep femoral artery, a readily available i...</td>\n",
       "      <td>The deep femoral artery (DFA) offers several a...</td>\n",
       "      <td>The deep femoral artery, a readily available i...</td>\n",
       "      <td>Silverberg, D; Sheick-Yousif, B; Yakubovitch, ...</td>\n",
       "      <td>Silverberg_d@msn.com</td>\n",
       "      <td>Silverberg, Daniel; Sheick-Yousif, Basheer; Ya...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>7</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18346</th>\n",
       "      <td>10.1258/vasc.2011.cr0284</td>\n",
       "      <td>2013</td>\n",
       "      <td>Free-floating thrombus of the carotid artery w...</td>\n",
       "      <td>Free-floating thrombus (FFT) of the carotid ar...</td>\n",
       "      <td>Free-floating thrombus of the carotid artery w...</td>\n",
       "      <td>Colak, N; Nazli, Y; Kosehan, D; Alpay, MF; Cak...</td>\n",
       "      <td>ncolak44@gmail.com</td>\n",
       "      <td>Colak, Necmettin; Nazli, Yunus; Kosehan, Dilek...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18347</th>\n",
       "      <td>10.1258/vasc.2011.cr0274</td>\n",
       "      <td>2013</td>\n",
       "      <td>Embolic stroke after carotid artery ligation d...</td>\n",
       "      <td>This report describes a case of a delayed cere...</td>\n",
       "      <td>Embolic stroke after carotid artery ligation d...</td>\n",
       "      <td>Kim, H; Cho, YP; Moon, KM; Kwon, TW</td>\n",
       "      <td>twkwon2@amc.seoul.kr</td>\n",
       "      <td>Kim, Hyangkyoung; Cho, Yong-Pil; Moon, Ki-Myun...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>31</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18348</th>\n",
       "      <td>10.1258/vasc.2011.cr0282</td>\n",
       "      <td>2013</td>\n",
       "      <td>Brachial artery transection associated with op...</td>\n",
       "      <td>Although acute elbow dislocations are common o...</td>\n",
       "      <td>Brachial artery transection associated with op...</td>\n",
       "      <td>Nazli, Y; Colak, N; Uras, I; Komurcu, M; Cakir, O</td>\n",
       "      <td>yunusnazli@yahoo.com</td>\n",
       "      <td>Nazli, Yunus; Colak, Necmettin; Uras, Ismail; ...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.44</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18349</th>\n",
       "      <td>10.1258/vasc.2011.oa0307</td>\n",
       "      <td>2012</td>\n",
       "      <td>Subclavian artery aneurysms: management implic...</td>\n",
       "      <td>Subclavian artery (SA) aneurysms (SCAA) are re...</td>\n",
       "      <td>Subclavian artery aneurysms: management implic...</td>\n",
       "      <td>Naz, I; Zia-ur-Rehman; Aziz, M; Sophie, Z</td>\n",
       "      <td>inaz786@hotmail.com</td>\n",
       "      <td>Naz, Iram; Zia-ur-Rehman; Aziz, Munira; Sophie...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>29</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18350</th>\n",
       "      <td>10.1258/vasc.2012.cr0292</td>\n",
       "      <td>2012</td>\n",
       "      <td>Subacute anterior spinal cord ischemia with lo...</td>\n",
       "      <td>A 70-year-old woman presented with crescendo r...</td>\n",
       "      <td>Subacute anterior spinal cord ischemia with lo...</td>\n",
       "      <td>Waters, PS; Tawfick, W; Hynes, N; Sultan, S</td>\n",
       "      <td>sherif.sultan@hse.ie</td>\n",
       "      <td>Waters, Peadar S.; Tawfick, Wael; Hynes, Niamh...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>5</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18351</th>\n",
       "      <td>10.1258/vasc.2011.cr0301</td>\n",
       "      <td>2012</td>\n",
       "      <td>Balloon-expandable stent deformation during de...</td>\n",
       "      <td>The management of aortoiliac insufficiency has...</td>\n",
       "      <td>Balloon-expandable stent deformation during de...</td>\n",
       "      <td>Hamdan, MF; Maguire, BG; Walker, MA</td>\n",
       "      <td>dr.moe_hamdan@yahoo.com</td>\n",
       "      <td>Hamdan, M. F.; Maguire, B. G.; Walker, M. A.</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.15</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>31</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18352</th>\n",
       "      <td>10.1258/vasc.2011.oa0344</td>\n",
       "      <td>2012</td>\n",
       "      <td>Axillo-wdllary bypass with polytetrafluoroethy...</td>\n",
       "      <td>The purpose of this study is to report the res...</td>\n",
       "      <td>Axillo-wdllary bypass with polytetrafluoroethy...</td>\n",
       "      <td>Song, LP; Zhang, J</td>\n",
       "      <td>drliposong@126.com</td>\n",
       "      <td>Song, Li Po; Zhang, Jian</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>2</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18353</th>\n",
       "      <td>10.1258/vasc.2011.cr0287</td>\n",
       "      <td>2012</td>\n",
       "      <td>A novel two-stage surgical approach for the tr...</td>\n",
       "      <td>We describe the case of a 45-year-old man with...</td>\n",
       "      <td>A novel two-stage surgical approach for the tr...</td>\n",
       "      <td>Ullery, BW; Foley, PJ; Brinster, CJ; Pochettin...</td>\n",
       "      <td>ron.fairman@uphs.upenn.edu</td>\n",
       "      <td>Ullery, Brant W.; Foley, Paul J.; Brinster, Cl...</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>10</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18354</th>\n",
       "      <td>10.1258/vasc.2011.cr0279</td>\n",
       "      <td>2012</td>\n",
       "      <td>The value of computed tomography scans in the ...</td>\n",
       "      <td>We report a patient who was known to have an a...</td>\n",
       "      <td>The value of computed tomography scans in the ...</td>\n",
       "      <td>Walker, S; Beasley, A</td>\n",
       "      <td>stuart.walker@dhhs.tas.gov.au</td>\n",
       "      <td>Walker, Stuart; Beasley, Anthony</td>\n",
       "      <td>VASCULAR</td>\n",
       "      <td>Cardiovascular System &amp; Cardiology</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "      <td>15</td>\n",
       "      <td>['background', 'arteri', 'diseas']</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18355 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              DI    PY  \\\n",
       "0      10.1016/j.ahj.2017.04.004  2017   \n",
       "1      10.1016/j.ahj.2017.08.014  2017   \n",
       "2      10.1016/j.ahj.2017.08.004  2017   \n",
       "3      10.1016/j.ahj.2017.08.013  2017   \n",
       "4      10.1016/j.ahj.2017.08.006  2017   \n",
       "5      10.1016/j.ahj.2017.08.016  2017   \n",
       "6      10.1016/j.ahj.2017.08.009  2017   \n",
       "7      10.1016/j.ahj.2017.08.015  2017   \n",
       "8      10.1016/j.ahj.2017.08.019  2017   \n",
       "9      10.1016/j.ahj.2017.08.017  2017   \n",
       "10     10.1016/j.ahj.2017.08.023  2017   \n",
       "11     10.1016/j.ahj.2017.08.012  2017   \n",
       "12     10.1016/j.ahj.2017.08.011  2017   \n",
       "13     10.1016/j.ahj.2017.07.020  2017   \n",
       "14     10.1016/j.ahj.2017.07.016  2017   \n",
       "15     10.1016/j.ahj.2017.07.010  2017   \n",
       "16     10.1016/j.ahj.2017.07.006  2017   \n",
       "17     10.1016/j.ahj.2017.08.001  2017   \n",
       "18     10.1016/j.ahj.2017.07.015  2017   \n",
       "19     10.1016/j.ahj.2017.07.019  2017   \n",
       "20     10.1016/j.ahj.2017.07.017  2017   \n",
       "21     10.1016/j.ahj.2017.07.018  2017   \n",
       "22     10.1016/j.ahj.2017.08.003  2017   \n",
       "23     10.1016/j.ahj.2017.08.005  2017   \n",
       "24     10.1016/j.ahj.2017.08.002  2017   \n",
       "25     10.1016/j.ahj.2017.05.017  2017   \n",
       "26     10.1016/j.ahj.2017.05.018  2017   \n",
       "27     10.1016/j.ahj.2017.06.012  2017   \n",
       "28     10.1016/j.ahj.2017.06.013  2017   \n",
       "29     10.1016/j.ahj.2017.07.001  2017   \n",
       "...                          ...   ...   \n",
       "18325   10.1177/1708538113478747  2014   \n",
       "18326   10.1177/1708538113478759  2014   \n",
       "18327   10.1177/1708538113479731  2014   \n",
       "18328   10.1177/1708538113479514  2014   \n",
       "18329   10.1177/1708538112474259  2014   \n",
       "18330   10.1177/1708538112473970  2014   \n",
       "18331   10.1177/1708538112472284  2014   \n",
       "18332   10.1177/1708538112472281  2014   \n",
       "18333   10.1177/1708538112473969  2014   \n",
       "18334   10.1177/1708538112472162  2013   \n",
       "18335   10.1177/1708538113478743  2013   \n",
       "18336   10.1177/1708538113478740  2013   \n",
       "18337   10.1177/1708538113478748  2013   \n",
       "18338   10.1177/1708538113478761  2013   \n",
       "18339   10.1177/1708538113478772  2013   \n",
       "18340   10.1177/1708538113478755  2013   \n",
       "18341   10.1258/vasc.2011.cr0327  2013   \n",
       "18342   10.1177/1708538112473971  2013   \n",
       "18343   10.1177/1708538113478413  2013   \n",
       "18344   10.1177/1708538113478727  2013   \n",
       "18345   10.1177/1708538113478719  2013   \n",
       "18346   10.1258/vasc.2011.cr0284  2013   \n",
       "18347   10.1258/vasc.2011.cr0274  2013   \n",
       "18348   10.1258/vasc.2011.cr0282  2013   \n",
       "18349   10.1258/vasc.2011.oa0307  2012   \n",
       "18350   10.1258/vasc.2012.cr0292  2012   \n",
       "18351   10.1258/vasc.2011.cr0301  2012   \n",
       "18352   10.1258/vasc.2011.oa0344  2012   \n",
       "18353   10.1258/vasc.2011.cr0287  2012   \n",
       "18354   10.1258/vasc.2011.cr0279  2012   \n",
       "\n",
       "                                                      TI  \\\n",
       "0      Late outcome of percutaneous mitral commissuro...   \n",
       "1      A unique linkage of administrative and clinica...   \n",
       "2      Contemporary risk model for inhospital major b...   \n",
       "3      Contemporary rates and correlates of statin us...   \n",
       "4      Durability of quality of life benefits of tran...   \n",
       "5      Atrial fibrillation decision support tool: Pop...   \n",
       "6      Outcomes in elderly and young patients with ST...   \n",
       "7      \"Bringing on the light\" in a complex clinical ...   \n",
       "8      Outcomes of cardiac pacing in adult patients a...   \n",
       "9      Edoxaban for the management of elderly Japanes...   \n",
       "10     Predicting risk of cardiac events among ST-seg...   \n",
       "11     Rational and design of a randomized, double-bl...   \n",
       "12     International trends in clinical characteristi...   \n",
       "13     Association between influenza vaccination and ...   \n",
       "14     Comparison of prevalence and management of lef...   \n",
       "15     The relationship of renal function to outcome:...   \n",
       "16     Design for the sacubitril/valsartan (LCZ696) c...   \n",
       "17     Rationale of a novel study design for the BIOF...   \n",
       "18     Does renal function affect the efficacy or saf...   \n",
       "19     Regional variation in quality of life in patie...   \n",
       "20     Instantaneous wave-free ratio and fractional f...   \n",
       "21     Temporal changes in infective endocarditis gui...   \n",
       "22     Long-term outcomes of bypass grafting versus d...   \n",
       "23     Lipidmanagement in contemporary community prac...   \n",
       "24     Biochemical risk markers and 10-year incidence...   \n",
       "25     Association between hospital rates of early Do...   \n",
       "26     Temporal trends and hospital-level variation o...   \n",
       "27     Cumulative psychological stress and cardiovasc...   \n",
       "28     Rheumatoid arthritis complicates noninvasive w...   \n",
       "29     Galectin-3 and incidence of atrial fibrillatio...   \n",
       "...                                                  ...   \n",
       "18325  A rare complication after axillofemoral bypass...   \n",
       "18326  Carotid axillary artery bypass: an option foll...   \n",
       "18327  New development for aorto bifemoral bypass - a...   \n",
       "18328  Long-term outcome after surgical and endovascu...   \n",
       "18329  Trend of management of traumatic thoracic aort...   \n",
       "18330  The effect of recent chemotherapy in aorto-ili...   \n",
       "18331  Influence of the chronic abdominal aortic occl...   \n",
       "18332  Renal artery pseudoaneurysm successfully treat...   \n",
       "18333  Cryopreserved superficial femoral artery homog...   \n",
       "18334  Coil embolization of an excluded internal ilia...   \n",
       "18335  Endovascular repair with chimney technique of ...   \n",
       "18336  Carotid endarterectomy in the elderly: risk fa...   \n",
       "18337  Endovascular reconstruction of iliac artery bi...   \n",
       "18338  Application of preoperative brain natriuretic ...   \n",
       "18339  Hybrid procedures for thoracoabdominal aortic ...   \n",
       "18340  Cryopreserved saphenous vein allograft for inf...   \n",
       "18341  Successful endovascular treatment of a rupture...   \n",
       "18342  Syndactylization as a technique in treatment o...   \n",
       "18343  Cell death pattern of a varicose vein organ cu...   \n",
       "18344  Approach to the vascular complications of lumb...   \n",
       "18345  The deep femoral artery, a readily available i...   \n",
       "18346  Free-floating thrombus of the carotid artery w...   \n",
       "18347  Embolic stroke after carotid artery ligation d...   \n",
       "18348  Brachial artery transection associated with op...   \n",
       "18349  Subclavian artery aneurysms: management implic...   \n",
       "18350  Subacute anterior spinal cord ischemia with lo...   \n",
       "18351  Balloon-expandable stent deformation during de...   \n",
       "18352  Axillo-wdllary bypass with polytetrafluoroethy...   \n",
       "18353  A novel two-stage surgical approach for the tr...   \n",
       "18354  The value of computed tomography scans in the ...   \n",
       "\n",
       "                                                      AB  \\\n",
       "0      Background Late prognosis after successful per...   \n",
       "1      Background Large clinical, research, and admin...   \n",
       "2      Background Major bleeding is a frequent compli...   \n",
       "3      Background Statin therapy ishighly efficacious...   \n",
       "4      Background For patients with severe aortic ste...   \n",
       "5      Background Appropriate thromboprophylaxis for ...   \n",
       "6      Background Since older age is a strong predict...   \n",
       "7      Background Cancer patients with recently place...   \n",
       "8      Background Cardiac pacing can be challenging a...   \n",
       "9      Edoxaban-a non-vitamin K antagonist oral antic...   \n",
       "10     Background Recent randomized evidence has demo...   \n",
       "11     Aims Furosemide is commonly prescribed for sym...   \n",
       "12     Background Atrial fibrillation (AF) is the mos...   \n",
       "13     Background This study was conducted to determi...   \n",
       "14     Background The prevalence and management of le...   \n",
       "15     Background The ENSURE-AF study (NCT 02072434) ...   \n",
       "16     Background Sacubitril/valsartan (LCZ696) is an...   \n",
       "17     Background Traditional study design submitted ...   \n",
       "18     Background The efficacy and safety of pharmaco...   \n",
       "19     Background Impaired quality of life (QOL) is a...   \n",
       "20     Background Functional assessment of non-infarc...   \n",
       "21     Background Infective endocarditis (IE) is a co...   \n",
       "22     Background There are limited data on comparati...   \n",
       "23     Background The latest cholesterol guidelines h...   \n",
       "24     Background The recommendation for statins in p...   \n",
       "25     Background Current guidelines recommend deferr...   \n",
       "26     Background Despite significant attention to re...   \n",
       "27     Although a growing body of evidence indicates ...   \n",
       "28     Background Our objective was to evaluate an ag...   \n",
       "29     Background Galectin-3, a beta-galactoside bind...   \n",
       "...                                                  ...   \n",
       "18325  Axillofemoral bypass operation is an alternati...   \n",
       "18326  Percutaneous transluminal angioplasty and sten...   \n",
       "18327  The classic procedure for aortobifemoral bypas...   \n",
       "18328  Subclavian artery aneurysm is a rare but serio...   \n",
       "18329  The purpose of this study was to review the sh...   \n",
       "18330  The aim of the study was to investigate the ef...   \n",
       "18331  We design a study to evaluate whether patients...   \n",
       "18332  Kidney injury and renal pseudoaneurysm after b...   \n",
       "18333  Treatment of aortic field infections is challe...   \n",
       "18334  The aim of the paper is to describe open appro...   \n",
       "18335  Abdominal aortic aneurysm (AAA) with hostile a...   \n",
       "18336  This retrospective analysis aims to demonstrat...   \n",
       "18337  A 71-year-old male patient with severe left bu...   \n",
       "18338  The purpose of the study was to determine the ...   \n",
       "18339  We report our three-year experience with the v...   \n",
       "18340  We report our distal bypass experience with cr...   \n",
       "18341  We report our experience with a case of emerge...   \n",
       "18342  The infection in vascular surgery is a nightma...   \n",
       "18343  The study aimed to investigate the viability o...   \n",
       "18344  The objective of this study was to demonstrate...   \n",
       "18345  The deep femoral artery (DFA) offers several a...   \n",
       "18346  Free-floating thrombus (FFT) of the carotid ar...   \n",
       "18347  This report describes a case of a delayed cere...   \n",
       "18348  Although acute elbow dislocations are common o...   \n",
       "18349  Subclavian artery (SA) aneurysms (SCAA) are re...   \n",
       "18350  A 70-year-old woman presented with crescendo r...   \n",
       "18351  The management of aortoiliac insufficiency has...   \n",
       "18352  The purpose of this study is to report the res...   \n",
       "18353  We describe the case of a 45-year-old man with...   \n",
       "18354  We report a patient who was known to have an a...   \n",
       "\n",
       "                                                      WD  \\\n",
       "0      Late outcome of percutaneous mitral commissuro...   \n",
       "1      A unique linkage of administrative and clinica...   \n",
       "2      Contemporary risk model for inhospital major b...   \n",
       "3      Contemporary rates and correlates of statin us...   \n",
       "4      Durability of quality of life benefits of tran...   \n",
       "5      Atrial fibrillation decision support tool: Pop...   \n",
       "6      Outcomes in elderly and young patients with ST...   \n",
       "7      \"Bringing on the light\" in a complex clinical ...   \n",
       "8      Outcomes of cardiac pacing in adult patients a...   \n",
       "9      Edoxaban for the management of elderly Japanes...   \n",
       "10     Predicting risk of cardiac events among ST-seg...   \n",
       "11     Rational and design of a randomized, double-bl...   \n",
       "12     International trends in clinical characteristi...   \n",
       "13     Association between influenza vaccination and ...   \n",
       "14     Comparison of prevalence and management of lef...   \n",
       "15     The relationship of renal function to outcome:...   \n",
       "16     Design for the sacubitril/valsartan (LCZ696) c...   \n",
       "17     Rationale of a novel study design for the BIOF...   \n",
       "18     Does renal function affect the efficacy or saf...   \n",
       "19     Regional variation in quality of life in patie...   \n",
       "20     Instantaneous wave-free ratio and fractional f...   \n",
       "21     Temporal changes in infective endocarditis gui...   \n",
       "22     Long-term outcomes of bypass grafting versus d...   \n",
       "23     Lipidmanagement in contemporary community prac...   \n",
       "24     Biochemical risk markers and 10-year incidence...   \n",
       "25     Association between hospital rates of early Do...   \n",
       "26     Temporal trends and hospital-level variation o...   \n",
       "27     Cumulative psychological stress and cardiovasc...   \n",
       "28     Rheumatoid arthritis complicates noninvasive w...   \n",
       "29     Galectin-3 and incidence of atrial fibrillatio...   \n",
       "...                                                  ...   \n",
       "18325  A rare complication after axillofemoral bypass...   \n",
       "18326  Carotid axillary artery bypass: an option foll...   \n",
       "18327  New development for aorto bifemoral bypass - a...   \n",
       "18328  Long-term outcome after surgical and endovascu...   \n",
       "18329  Trend of management of traumatic thoracic aort...   \n",
       "18330  The effect of recent chemotherapy in aorto-ili...   \n",
       "18331  Influence of the chronic abdominal aortic occl...   \n",
       "18332  Renal artery pseudoaneurysm successfully treat...   \n",
       "18333  Cryopreserved superficial femoral artery homog...   \n",
       "18334  Coil embolization of an excluded internal ilia...   \n",
       "18335  Endovascular repair with chimney technique of ...   \n",
       "18336  Carotid endarterectomy in the elderly: risk fa...   \n",
       "18337  Endovascular reconstruction of iliac artery bi...   \n",
       "18338  Application of preoperative brain natriuretic ...   \n",
       "18339  Hybrid procedures for thoracoabdominal aortic ...   \n",
       "18340  Cryopreserved saphenous vein allograft for inf...   \n",
       "18341  Successful endovascular treatment of a rupture...   \n",
       "18342  Syndactylization as a technique in treatment o...   \n",
       "18343  Cell death pattern of a varicose vein organ cu...   \n",
       "18344  Approach to the vascular complications of lumb...   \n",
       "18345  The deep femoral artery, a readily available i...   \n",
       "18346  Free-floating thrombus of the carotid artery w...   \n",
       "18347  Embolic stroke after carotid artery ligation d...   \n",
       "18348  Brachial artery transection associated with op...   \n",
       "18349  Subclavian artery aneurysms: management implic...   \n",
       "18350  Subacute anterior spinal cord ischemia with lo...   \n",
       "18351  Balloon-expandable stent deformation during de...   \n",
       "18352  Axillo-wdllary bypass with polytetrafluoroethy...   \n",
       "18353  A novel two-stage surgical approach for the tr...   \n",
       "18354  The value of computed tomography scans in the ...   \n",
       "\n",
       "                                                      AU  \\\n",
       "0      Lee, S; Kang, DH; Kim, DH; Song, JM; Song, JK;...   \n",
       "1      Godown, J; Thurm, C; Dodd, DA; Soslow, JH; Fei...   \n",
       "2      Desai, NR; Kennedy, KF; Cohen, DJ; Connolly, T...   \n",
       "3      Go, AS; Fan, DJ; Sung, SH; Inveiss, AI; Romo-L...   \n",
       "4      Baron, SJ; Arnold, SV; Reynolds, MR; Wang, KJ;...   \n",
       "5      Eckman, MH; Costea, A; Attari, M; Munjal, J; W...   \n",
       "6      Qaderdan, K; Vos, GJA; McAndrew, T; Steg, PG; ...   \n",
       "7      Iliescu, CA; Cilingiroglu, M; Giza, DE; Rosale...   \n",
       "8      Egbe, AC; Huntley, GD; Connolly, HM; Ammash, N...   \n",
       "9      Okumura, K; Lip, GYH; Akao, M; Tanizawa, K; Fu...   \n",
       "10     Hirji, SA; Stevens, SR; Shaw, LK; Campbell, EC...   \n",
       "11     da Rosa, PR; Rohde, LE; Doebber, M; Ribeiro, A...   \n",
       "12     Steinberg, BA; Gao, HY; Shrader, P; Pieper, K;...   \n",
       "13     Chiang, MH; Wu, HH; Shih, CJ; Chen, YT; Kuo, S...   \n",
       "14     Da Costa, A; Delolme, C; Guichard, JB; Gerbay,...   \n",
       "15     Lip, GYH; Al-Saady, N; Ezekowitz, MD; Banach, ...   \n",
       "16     Shaddy, R; Canter, C; Halnon, N; Kochilas, L; ...   \n",
       "17     Doros, G; Massaro, JM; Kandzari, DE; Waksman, ...   \n",
       "18     Russo, JJ; Goodman, SG; Cantor, WJ; Ko, DT; Ba...   \n",
       "19     Fogleman, ND; Apers, S; Moons, P; Morrison, S;...   \n",
       "20     Musto, C; De Felice, F; Rigattieri, S; Chin, D...   \n",
       "21     Ostergaard, L; Valeur, N; Bundgaard, H; Butt, ...   \n",
       "22     Lee, PH; Lee, JY; Lee, CW; Han, S; Ahn, JM; Pa...   \n",
       "23     Navar, AM; Wang, TY; Li, S; Robinson, JG; Gold...   \n",
       "24                 Akintoye, E; Briasoulis, A; Afonso, L   \n",
       "25       Fendler, TJ; Spertus, JA; Kennedy, KF; Chan, PS   \n",
       "26     Bradley, SM; Kaboli, P; Kamphuis, LA; Chan, PS...   \n",
       "27     Albert, MA; Durazo, EM; Slopen, N; Zaslavsky, ...   \n",
       "28     Jessee, R; Peart, E; Beineke, P; Rosenberg, S;...   \n",
       "29     Fashanu, OE; Norby, FL; Aguilar, D; Ballantyne...   \n",
       "...                                                  ...   \n",
       "18325        Chousein, S; Yuksel, V; Geldi, O; Canbaz, S   \n",
       "18326  Orozco, V; Impellizzeri, P; Naftalovich, R; Da...   \n",
       "18327  Segers, B; Horn, D; Bazi, MO; Lemaitre, J; Van...   \n",
       "18328  Zehm, S; Chemelli, A; Jaschke, W; Fraedrich, G...   \n",
       "18329  Mwipatayi, BP; Boyle, A; Collin, M; Papineau, ...   \n",
       "18330  Tsilimparis, N; Ricotta, JJ; Dayama, A; Reeves...   \n",
       "18331  Ilic, NS; Koncar, I; Dragas, M; Golubovic, M; ...   \n",
       "18332     Tannouri, F; Maalouly, R; Salem, JF; Haddad, F   \n",
       "18333  Veal, A; Oshin, O; Schober, M; Rowbern, S; Tor...   \n",
       "18334  De Luccia, N; Sassaki, P; Santo, FE; Rosa, K; ...   \n",
       "18335  Kim, JY; Park, JY; Cho, SG; Jin, CI; Lee, WA; ...   \n",
       "18336  Sadideen, H; Thomson, DR; Lewis, RR; Padayache...   \n",
       "18337  Vourliotakis, G; Mantas, G; Katsargyris, A; Ai...   \n",
       "18338  Causey, MW; McVay, DP; Oguntoye, M; Andersen, ...   \n",
       "18339  Liu, Z; Zhou, M; Liu, C; Qiao, T; Huang, DA; Z...   \n",
       "18340  Methodius-Rayford, W; Combs, JM; Wellons, ED; ...   \n",
       "18341  Georgakarakos, EI; Nikolopoulos, ES; Karanikas...   \n",
       "18342  Ilic, NS; Dragas, M; Koncar, I; Kostic, D; Pej...   \n",
       "18343   Lim, CS; Kiriakidis, S; Paleolog, EM; Davies, AH   \n",
       "18344  Bozok, S; Ilhan, G; Destan, B; Gokalp, O; Gune...   \n",
       "18345  Silverberg, D; Sheick-Yousif, B; Yakubovitch, ...   \n",
       "18346  Colak, N; Nazli, Y; Kosehan, D; Alpay, MF; Cak...   \n",
       "18347                Kim, H; Cho, YP; Moon, KM; Kwon, TW   \n",
       "18348  Nazli, Y; Colak, N; Uras, I; Komurcu, M; Cakir, O   \n",
       "18349          Naz, I; Zia-ur-Rehman; Aziz, M; Sophie, Z   \n",
       "18350        Waters, PS; Tawfick, W; Hynes, N; Sultan, S   \n",
       "18351                Hamdan, MF; Maguire, BG; Walker, MA   \n",
       "18352                                 Song, LP; Zhang, J   \n",
       "18353  Ullery, BW; Foley, PJ; Brinster, CJ; Pochettin...   \n",
       "18354                              Walker, S; Beasley, A   \n",
       "\n",
       "                                             EM  \\\n",
       "0      dhkang@amc.seoul.kr; sjpark@amc.seoul.kr   \n",
       "1                  justin.godown@vanderbilt.edu   \n",
       "2                      robert.mcnamara@yale.edu   \n",
       "3                              Alan.S.Go@kp.org   \n",
       "4                        dcohen@saint-lukes.org   \n",
       "5                            mark.eckman@uc.edu   \n",
       "6                          jurtenberg@gmail.com   \n",
       "7                       ciliescu@mdanderson.org   \n",
       "8                       egbe.alexander@mayo.edu   \n",
       "9                      okumura@hirosaki-u.ac.jp   \n",
       "10                j.matthew.brennan@dm.duke.edu   \n",
       "11                           rohde.le@gmail.com   \n",
       "12              benjamin.steinberg@hsc.utah.edu   \n",
       "13                        ludwigvantw@gmail.com   \n",
       "14                            dakosta@orange.fr   \n",
       "15                         g.y.h.lip@bham.ac.uk   \n",
       "16                     fabian.chen@novartis.com   \n",
       "17                       lmauri@bwh.harvard.edu   \n",
       "18                                  yana@smh.ca   \n",
       "19                  Gruschen.veldtman@cchmc.org   \n",
       "20                            cmusto@hotmail.it   \n",
       "21                   laugeoestergaard@gmail.com   \n",
       "22                       cheolwlee@amc.seoul.kr   \n",
       "23                         navar006@dm.duke.edu   \n",
       "24                        lafonso@med.wayne.edu   \n",
       "25                                          NaN   \n",
       "26                        Steven.Bradley@va.gov   \n",
       "27                     michelle.albert@ucsf.edu   \n",
       "28                                          NaN   \n",
       "29                             folso001@umn.edu   \n",
       "...                                         ...   \n",
       "18325                       drvyuksel@yahoo.com   \n",
       "18326                     tristan65@hotmail.com   \n",
       "18327            bernard_segers@stpierre-bru.be   \n",
       "18328                      Sarah.Zehm@gmail.com   \n",
       "18329                      bibombe@iinet.net.au   \n",
       "18330                         jjricot@emory.edu   \n",
       "18331                      fosafosa75@yahoo.com   \n",
       "18332                           js56@aub.edu.lb   \n",
       "18333                       f.torella@liv.ac.uk   \n",
       "18334                        nluccia@uol.com.br   \n",
       "18335                        radjeon@inha.ac.kr   \n",
       "18336             hazim.sadideen@doctors.org.uk   \n",
       "18337                      kthanassos@yahoo.com   \n",
       "18338                          mwcausey@msn.com   \n",
       "18339                     dr_cjliiu@hotmail.com   \n",
       "18340                      wmethodi@comcast.net   \n",
       "18341                 efstratiosgeorg@gmail.com   \n",
       "18342                      fosafosa75@yahoo.com   \n",
       "18343                a.h.davies@imper-ial.ac.uk   \n",
       "18344                        sahinboz@yahoo.com   \n",
       "18345                      Silverberg_d@msn.com   \n",
       "18346                        ncolak44@gmail.com   \n",
       "18347                      twkwon2@amc.seoul.kr   \n",
       "18348                      yunusnazli@yahoo.com   \n",
       "18349                       inaz786@hotmail.com   \n",
       "18350                      sherif.sultan@hse.ie   \n",
       "18351                   dr.moe_hamdan@yahoo.com   \n",
       "18352                        drliposong@126.com   \n",
       "18353                ron.fairman@uphs.upenn.edu   \n",
       "18354             stuart.walker@dhhs.tas.gov.au   \n",
       "\n",
       "                                                      AF  \\\n",
       "0      Lee, Sahmin; Kang, Duk-Hyun; Kim, Dae-Hee; Son...   \n",
       "1      Godown, Justin; Thurm, Cary; Dodd, Debra A.; S...   \n",
       "2      Desai, Nihar R.; Kennedy, Kevin F.; Cohen, Dav...   \n",
       "3      Go, Alan S.; Fan, Dongjie; Sung, Sue Hee; Inve...   \n",
       "4      Baron, Suzanne J.; Arnold, Suzanne V.; Reynold...   \n",
       "5      Eckman, Mark H.; Costea, Alexandru; Attari, Me...   \n",
       "6      Qaderdan, Khalid; Vos, Gerrit-Jan A.; McAndrew...   \n",
       "7      Iliescu, Cezar A.; Cilingiroglu, Mehmet; Giza,...   \n",
       "8      Egbe, Alexander C.; Huntley, Geoffery D.; Conn...   \n",
       "9      Okumura, Ken; Lip, Gregory Y. H.; Akao, Masaha...   \n",
       "10     Hirji, Sameer A.; Stevens, Susanna R.; Shaw, L...   \n",
       "11     da Rosa, Priscila Raupp; Rohde, Luis E.; Doebb...   \n",
       "12     Steinberg, Benjamin A.; Gao, Haiyan; Shrader, ...   \n",
       "13     Chiang, Ming-Hsien; Wu, Hau-Hsin; Shih, Chia-J...   \n",
       "14     Da Costa, Antoine; Delolme, Clarisse; Guichard...   \n",
       "15     Lip, Gregory Y. H.; Al-Saady, Naab; Ezekowitz,...   \n",
       "16     Shaddy, Robert; Canter, Charles; Halnon, Nancy...   \n",
       "17     Doros, Gheorghe; Massaro, Joseph M.; Kandzari,...   \n",
       "18     Russo, Juan J.; Goodman, Shaun G.; Cantor, War...   \n",
       "19     Fogleman, Nicholas D.; Apers, Silke; Moons, Ph...   \n",
       "20     Musto, Carmine; De Felice, Francesco; Rigattie...   \n",
       "21     Ostergaard, Lauge; Valeur, Nana; Bundgaard, He...   \n",
       "22     Lee, Pil Hyung; Lee, Jong-Young; Lee, Cheol Wh...   \n",
       "23     Navar, Ann Marie; Wang, Tracy Y.; Li, Shuang; ...   \n",
       "24     Akintoye, Emmanuel; Briasoulis, Alexandros; Af...   \n",
       "25     Fendler, Timothy J.; Spertus, John A.; Kennedy...   \n",
       "26     Bradley, Steven M.; Kaboli, Peter; Kamphuis, L...   \n",
       "27     Albert, Michelle A.; Durazo, Eva M.; Slopen, N...   \n",
       "28     Jessee, Ryan; Peart, Erica; Beineke, Phil; Ros...   \n",
       "29     Fashanu, Oluwaseun E.; Norby, Faye L.; Aguilar...   \n",
       "...                                                  ...   \n",
       "18325  Chousein, Serchat; Yuksel, Volkan; Geldi, Onur...   \n",
       "18326  Orozco, Vicente; Impellizzeri, Paul; Naftalovi...   \n",
       "18327  Segers, Bernard; Horn, David; Bazi, Michel-Oli...   \n",
       "18328  Zehm, Sarah; Chemelli, Andreas; Jaschke, Werne...   \n",
       "18329  Mwipatayi, Bibombe P.; Boyle, Arwen; Collin, M...   \n",
       "18330  Tsilimparis, Nikolaos; Ricotta, Joseph J.; Day...   \n",
       "18331  Ilic, Nikola S.; Koncar, Igor; Dragas, Marko; ...   \n",
       "18332  Tannouri, Fadi; Maalouly, Rina; Salem, Jean F....   \n",
       "18333  Veal, Andrew; Oshin, Olufemi; Schober, Mariann...   \n",
       "18334  De Luccia, Nelson; Sassaki, Paulo; Santo, Fabi...   \n",
       "18335  Kim, Jang Yong; Park, Jae Young; Cho, Soon Gu;...   \n",
       "18336  Sadideen, H.; Thomson, D. R.; Lewis, R. R.; Pa...   \n",
       "18337  Vourliotakis, Georgios; Mantas, Georgios; Kats...   \n",
       "18338  Causey, Marlin Wayne; McVay, Derek P.; Oguntoy...   \n",
       "18339  Liu, Zhao; Zhou, Min; Liu, Chen; Qiao, Tong; H...   \n",
       "18340  Methodius-Rayford, Walaya; Combs, James M.; We...   \n",
       "18341  Georgakarakos, Efstratios I.; Nikolopoulos, Ev...   \n",
       "18342  Ilic, Nikola S.; Dragas, Marko; Koncar, Igor; ...   \n",
       "18343  Lim, Chung S.; Kiriakidis, Serafim; Paleolog, ...   \n",
       "18344  Bozok, Sahin; Ilhan, Gokhan; Destan, Bugra; Go...   \n",
       "18345  Silverberg, Daniel; Sheick-Yousif, Basheer; Ya...   \n",
       "18346  Colak, Necmettin; Nazli, Yunus; Kosehan, Dilek...   \n",
       "18347  Kim, Hyangkyoung; Cho, Yong-Pil; Moon, Ki-Myun...   \n",
       "18348  Nazli, Yunus; Colak, Necmettin; Uras, Ismail; ...   \n",
       "18349  Naz, Iram; Zia-ur-Rehman; Aziz, Munira; Sophie...   \n",
       "18350  Waters, Peadar S.; Tawfick, Wael; Hynes, Niamh...   \n",
       "18351       Hamdan, M. F.; Maguire, B. G.; Walker, M. A.   \n",
       "18352                           Song, Li Po; Zhang, Jian   \n",
       "18353  Ullery, Brant W.; Foley, Paul J.; Brinster, Cl...   \n",
       "18354                   Walker, Stuart; Beasley, Anthony   \n",
       "\n",
       "                           SO                                  SC  \\\n",
       "0      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "1      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "2      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "3      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "4      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "5      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "6      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "7      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "8      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "9      AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "10     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "11     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "12     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "13     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "14     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "15     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "16     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "17     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "18     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "19     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "20     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "21     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "22     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "23     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "24     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "25     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "26     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "27     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "28     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "29     AMERICAN HEART JOURNAL  Cardiovascular System & Cardiology   \n",
       "...                       ...                                 ...   \n",
       "18325                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18326                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18327                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18328                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18329                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18330                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18331                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18332                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18333                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18334                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18335                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18336                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18337                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18338                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18339                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18340                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18341                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18342                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18343                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18344                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18345                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18346                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18347                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18348                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18349                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18350                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18351                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18352                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18353                VASCULAR  Cardiovascular System & Cardiology   \n",
       "18354                VASCULAR  Cardiovascular System & Cardiology   \n",
       "\n",
       "                      ...                 highly_cited_1 highly_cited_10  \\\n",
       "0                     ...                          False           False   \n",
       "1                     ...                          False           False   \n",
       "2                     ...                          False           False   \n",
       "3                     ...                          False           False   \n",
       "4                     ...                          False           False   \n",
       "5                     ...                          False           False   \n",
       "6                     ...                          False           False   \n",
       "7                     ...                          False           False   \n",
       "8                     ...                          False           False   \n",
       "9                     ...                          False           False   \n",
       "10                    ...                          False           False   \n",
       "11                    ...                          False           False   \n",
       "12                    ...                          False           False   \n",
       "13                    ...                          False           False   \n",
       "14                    ...                          False           False   \n",
       "15                    ...                          False           False   \n",
       "16                    ...                          False           False   \n",
       "17                    ...                          False           False   \n",
       "18                    ...                          False           False   \n",
       "19                    ...                          False           False   \n",
       "20                    ...                          False           False   \n",
       "21                    ...                          False           False   \n",
       "22                    ...                          False           False   \n",
       "23                    ...                          False           False   \n",
       "24                    ...                          False           False   \n",
       "25                    ...                          False           False   \n",
       "26                    ...                          False           False   \n",
       "27                    ...                          False           False   \n",
       "28                    ...                          False           False   \n",
       "29                    ...                          False           False   \n",
       "...                   ...                            ...             ...   \n",
       "18325                 ...                          False           False   \n",
       "18326                 ...                          False           False   \n",
       "18327                 ...                          False           False   \n",
       "18328                 ...                          False           False   \n",
       "18329                 ...                          False           False   \n",
       "18330                 ...                          False           False   \n",
       "18331                 ...                          False           False   \n",
       "18332                 ...                          False           False   \n",
       "18333                 ...                          False           False   \n",
       "18334                 ...                          False           False   \n",
       "18335                 ...                          False           False   \n",
       "18336                 ...                          False           False   \n",
       "18337                 ...                          False           False   \n",
       "18338                 ...                          False           False   \n",
       "18339                 ...                          False           False   \n",
       "18340                 ...                          False           False   \n",
       "18341                 ...                          False           False   \n",
       "18342                 ...                          False           False   \n",
       "18343                 ...                          False           False   \n",
       "18344                 ...                          False           False   \n",
       "18345                 ...                          False           False   \n",
       "18346                 ...                          False           False   \n",
       "18347                 ...                          False           False   \n",
       "18348                 ...                          False           False   \n",
       "18349                 ...                          False           False   \n",
       "18350                 ...                          False           False   \n",
       "18351                 ...                          False           False   \n",
       "18352                 ...                          False           False   \n",
       "18353                 ...                          False           False   \n",
       "18354                 ...                          False           False   \n",
       "\n",
       "       highly_cited_5  recent_citations  relative_citation_ratio  times_cited  \\\n",
       "0               False               0.0                      NaN          0.0   \n",
       "1               False               1.0                      NaN          1.0   \n",
       "2               False               0.0                      NaN          0.0   \n",
       "3               False               0.0                      NaN          0.0   \n",
       "4               False               0.0                      NaN          0.0   \n",
       "5               False               1.0                      NaN          1.0   \n",
       "6               False               0.0                      NaN          0.0   \n",
       "7               False               0.0                      NaN          0.0   \n",
       "8               False               0.0                      NaN          0.0   \n",
       "9               False               0.0                      NaN          0.0   \n",
       "10              False               0.0                      NaN          0.0   \n",
       "11              False               0.0                      NaN          0.0   \n",
       "12              False               0.0                      NaN          0.0   \n",
       "13              False               1.0                      NaN          1.0   \n",
       "14              False               0.0                      NaN          0.0   \n",
       "15              False               0.0                      NaN          0.0   \n",
       "16              False               1.0                      NaN          1.0   \n",
       "17              False               1.0                      NaN          1.0   \n",
       "18              False               0.0                      NaN          0.0   \n",
       "19              False               1.0                      NaN          1.0   \n",
       "20              False               0.0                      NaN          0.0   \n",
       "21              False               0.0                      NaN          0.0   \n",
       "22              False               0.0                      NaN          0.0   \n",
       "23              False               0.0                      NaN          0.0   \n",
       "24              False               0.0                      NaN          0.0   \n",
       "25              False               1.0                      NaN          1.0   \n",
       "26              False               1.0                      NaN          1.0   \n",
       "27              False               0.0                      NaN          0.0   \n",
       "28              False               0.0                      NaN          0.0   \n",
       "29              False               0.0                      NaN          0.0   \n",
       "...               ...               ...                      ...          ...   \n",
       "18325           False               0.0                     0.00          0.0   \n",
       "18326           False               0.0                     0.00          0.0   \n",
       "18327           False               0.0                     0.25          2.0   \n",
       "18328           False               2.0                     0.54          3.0   \n",
       "18329           False               0.0                     0.00          0.0   \n",
       "18330           False               0.0                     0.21          2.0   \n",
       "18331           False               0.0                     0.00          0.0   \n",
       "18332           False               0.0                     0.00          0.0   \n",
       "18333           False               0.0                     0.00          0.0   \n",
       "18334           False               1.0                     0.36          2.0   \n",
       "18335           False               0.0                     0.00          0.0   \n",
       "18336           False               0.0                     0.00          0.0   \n",
       "18337           False               0.0                     0.00          0.0   \n",
       "18338           False               0.0                     0.18          2.0   \n",
       "18339           False               1.0                     0.00          1.0   \n",
       "18340           False               0.0                     0.16          1.0   \n",
       "18341           False               1.0                     0.00          1.0   \n",
       "18342           False               0.0                     0.00          0.0   \n",
       "18343           False               0.0                     0.00          0.0   \n",
       "18344           False               0.0                     0.00          1.0   \n",
       "18345           False               0.0                     0.00          1.0   \n",
       "18346           False               0.0                     0.00          0.0   \n",
       "18347           False               0.0                     0.00          0.0   \n",
       "18348           False               1.0                     0.44          3.0   \n",
       "18349           False               0.0                     0.00          0.0   \n",
       "18350           False               0.0                     0.00          0.0   \n",
       "18351           False               1.0                     0.15          1.0   \n",
       "18352           False               0.0                     0.00          0.0   \n",
       "18353           False               0.0                     0.00          0.0   \n",
       "18354           False               0.0                     0.00          0.0   \n",
       "\n",
       "      Citations                             Cluster  Cluster_no  \\\n",
       "0           0.0  ['background', 'arteri', 'diseas']          15   \n",
       "1           1.0  ['background', 'arteri', 'diseas']           5   \n",
       "2           0.0  ['background', 'arteri', 'diseas']          30   \n",
       "3           0.0  ['background', 'arteri', 'diseas']          12   \n",
       "4           0.0  ['background', 'arteri', 'diseas']           7   \n",
       "5           1.0  ['background', 'arteri', 'diseas']          11   \n",
       "6           0.0  ['background', 'arteri', 'diseas']           0   \n",
       "7           0.0  ['background', 'arteri', 'diseas']          26   \n",
       "8           0.0  ['background', 'arteri', 'diseas']          11   \n",
       "9           0.0  ['background', 'arteri', 'diseas']          25   \n",
       "10          0.0  ['background', 'arteri', 'diseas']           0   \n",
       "11          0.0  ['background', 'arteri', 'diseas']          25   \n",
       "12          0.0  ['background', 'arteri', 'diseas']          25   \n",
       "13          1.0  ['background', 'arteri', 'diseas']           4   \n",
       "14          0.0  ['background', 'arteri', 'diseas']           9   \n",
       "15          0.0  ['background', 'arteri', 'diseas']           0   \n",
       "16          1.0  ['background', 'arteri', 'diseas']          12   \n",
       "17          1.0  ['background', 'arteri', 'diseas']          25   \n",
       "18          0.0  ['background', 'arteri', 'diseas']          28   \n",
       "19          1.0  ['background', 'arteri', 'diseas']           5   \n",
       "20          0.0  ['background', 'arteri', 'diseas']           0   \n",
       "21          0.0  ['background', 'arteri', 'diseas']           2   \n",
       "22          0.0  ['background', 'arteri', 'diseas']          20   \n",
       "23          0.0  ['background', 'arteri', 'diseas']          25   \n",
       "24          0.0  ['background', 'arteri', 'diseas']          12   \n",
       "25          1.0  ['background', 'arteri', 'diseas']          18   \n",
       "26          1.0  ['background', 'arteri', 'diseas']          18   \n",
       "27          0.0  ['background', 'arteri', 'diseas']          25   \n",
       "28          0.0  ['background', 'arteri', 'diseas']          16   \n",
       "29          0.0  ['background', 'arteri', 'diseas']          12   \n",
       "...         ...                                 ...         ...   \n",
       "18325       0.0  ['background', 'arteri', 'diseas']           7   \n",
       "18326       0.0  ['background', 'arteri', 'diseas']          26   \n",
       "18327       2.0  ['background', 'arteri', 'diseas']          29   \n",
       "18328       3.0  ['background', 'arteri', 'diseas']          20   \n",
       "18329       0.0  ['background', 'arteri', 'diseas']           7   \n",
       "18330       2.0  ['background', 'arteri', 'diseas']          24   \n",
       "18331       0.0  ['background', 'arteri', 'diseas']           2   \n",
       "18332       0.0  ['background', 'arteri', 'diseas']          10   \n",
       "18333       0.0  ['background', 'arteri', 'diseas']          26   \n",
       "18334       2.0  ['background', 'arteri', 'diseas']          10   \n",
       "18335       0.0  ['background', 'arteri', 'diseas']          10   \n",
       "18336       0.0  ['background', 'arteri', 'diseas']          20   \n",
       "18337       0.0  ['background', 'arteri', 'diseas']           2   \n",
       "18338       2.0  ['background', 'arteri', 'diseas']           5   \n",
       "18339       1.0  ['background', 'arteri', 'diseas']           2   \n",
       "18340       1.0  ['background', 'arteri', 'diseas']           2   \n",
       "18341       1.0  ['background', 'arteri', 'diseas']          10   \n",
       "18342       0.0  ['background', 'arteri', 'diseas']           2   \n",
       "18343       0.0  ['background', 'arteri', 'diseas']          30   \n",
       "18344       1.0  ['background', 'arteri', 'diseas']           2   \n",
       "18345       1.0  ['background', 'arteri', 'diseas']           7   \n",
       "18346       0.0  ['background', 'arteri', 'diseas']          10   \n",
       "18347       0.0  ['background', 'arteri', 'diseas']          31   \n",
       "18348       3.0  ['background', 'arteri', 'diseas']          10   \n",
       "18349       0.0  ['background', 'arteri', 'diseas']          29   \n",
       "18350       0.0  ['background', 'arteri', 'diseas']           5   \n",
       "18351       1.0  ['background', 'arteri', 'diseas']          31   \n",
       "18352       0.0  ['background', 'arteri', 'diseas']           2   \n",
       "18353       0.0  ['background', 'arteri', 'diseas']          10   \n",
       "18354       0.0  ['background', 'arteri', 'diseas']          15   \n",
       "\n",
       "                              Article_kws  \n",
       "0      ['background', 'arteri', 'diseas']  \n",
       "1      ['background', 'arteri', 'diseas']  \n",
       "2      ['background', 'arteri', 'diseas']  \n",
       "3      ['background', 'arteri', 'diseas']  \n",
       "4      ['background', 'arteri', 'diseas']  \n",
       "5      ['background', 'arteri', 'diseas']  \n",
       "6      ['background', 'arteri', 'diseas']  \n",
       "7      ['background', 'arteri', 'diseas']  \n",
       "8      ['background', 'arteri', 'diseas']  \n",
       "9      ['background', 'arteri', 'diseas']  \n",
       "10     ['background', 'arteri', 'diseas']  \n",
       "11     ['background', 'arteri', 'diseas']  \n",
       "12      ['background', 'arteri', 'orbit']  \n",
       "13     ['background', 'arteri', 'diseas']  \n",
       "14     ['background', 'arteri', 'diseas']  \n",
       "15     ['background', 'arteri', 'diseas']  \n",
       "16     ['background', 'arteri', 'diseas']  \n",
       "17     ['background', 'arteri', 'diseas']  \n",
       "18     ['background', 'arteri', 'diseas']  \n",
       "19     ['background', 'arteri', 'diseas']  \n",
       "20       ['background', 'arteri', 'wave']  \n",
       "21     ['background', 'arteri', 'diseas']  \n",
       "22       ['background', 'arteri', 'main']  \n",
       "23     ['background', 'arteri', 'diseas']  \n",
       "24     ['background', 'arteri', 'diseas']  \n",
       "25     ['background', 'arteri', 'diseas']  \n",
       "26     ['background', 'arteri', 'diseas']  \n",
       "27     ['background', 'arteri', 'diseas']  \n",
       "28     ['background', 'arteri', 'diseas']  \n",
       "29     ['background', 'arteri', 'diseas']  \n",
       "...                                   ...  \n",
       "18325  ['background', 'arteri', 'diseas']  \n",
       "18326  ['background', 'arteri', 'diseas']  \n",
       "18327  ['background', 'arteri', 'diseas']  \n",
       "18328  ['background', 'arteri', 'diseas']  \n",
       "18329  ['background', 'arteri', 'diseas']  \n",
       "18330  ['background', 'arteri', 'diseas']  \n",
       "18331  ['background', 'arteri', 'diseas']  \n",
       "18332  ['background', 'arteri', 'diseas']  \n",
       "18333  ['background', 'arteri', 'diseas']  \n",
       "18334  ['background', 'arteri', 'diseas']  \n",
       "18335  ['background', 'arteri', 'diseas']  \n",
       "18336  ['background', 'arteri', 'diseas']  \n",
       "18337  ['background', 'arteri', 'diseas']  \n",
       "18338  ['background', 'arteri', 'diseas']  \n",
       "18339  ['background', 'arteri', 'diseas']  \n",
       "18340  ['background', 'arteri', 'diseas']  \n",
       "18341  ['background', 'arteri', 'diseas']  \n",
       "18342  ['background', 'arteri', 'diseas']  \n",
       "18343  ['background', 'arteri', 'diseas']  \n",
       "18344  ['background', 'arteri', 'diseas']  \n",
       "18345  ['background', 'arteri', 'diseas']  \n",
       "18346  ['background', 'arteri', 'diseas']  \n",
       "18347  ['background', 'arteri', 'diseas']  \n",
       "18348  ['background', 'arteri', 'diseas']  \n",
       "18349  ['background', 'arteri', 'diseas']  \n",
       "18350  ['background', 'arteri', 'diseas']  \n",
       "18351  ['background', 'arteri', 'diseas']  \n",
       "18352  ['background', 'arteri', 'diseas']  \n",
       "18353  ['background', 'arteri', 'diseas']  \n",
       "18354  ['background', 'arteri', 'diseas']  \n",
       "\n",
       "[18355 rows x 29 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "article_kws_ls= []\n",
    "\n",
    "for row in mat:\n",
    "    indexes = list(np.array(row.argsort()[:, ::-1][0])[0])[:10]\n",
    "    article_kws_ls.append([tsne_terms[ind] for ind in indexes][:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'orbit'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'wave'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'main'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'septal'],\n",
       " ['background', 'arteri', 'vulner'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'high rate'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'rapid'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'endpoint'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'apnea'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'low risk'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas progress'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'therapeut effect'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'receptor inhibitor'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'japan'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'impair glucos'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'exercis train'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'monotherapi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'fit'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'load'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diphosph'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'hiv'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'durat dual'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'dimethylarginin'],\n",
       " ['background', 'arteri', 'levosimendan'],\n",
       " ['background', 'arteri', 'tomograph angiographi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'lumen'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'ticagrelor'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'chest pain'],\n",
       " ['background', 'arteri', 'danish'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'medic manag'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'pcsk'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'diet', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'stemi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'pcsk'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'hispan'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'swedeheart'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'angina', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'apixaban'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'counterpuls'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'dual antiplatelet'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'cardiopulmonari exercis'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'coronari atherosclerosi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'gap'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'attempt'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'thrombus aspir'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'culprit'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'rule'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'prasugrel'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'fraction flow'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'smoke cessat'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'rivaroxaban'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'vascular risk'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'veteran'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'african'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'inappropri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'hypertroph cardiomyopathi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'decompens heart'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'sport', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'angiotensin'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'edg'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'ventricular pressur'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'catheter'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'cardiovers atrial'],\n",
       " ['background', 'arteri', 'marfan'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'renal', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'treatment strategi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'myocardi ischemia'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'chest compress'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'multi ethnic'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'dietari'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'apixaban'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'anterior'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'beta blocker'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'wave'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'rosuvastatin'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'uniqu'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'aspirin', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'blue'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'polym'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'apixaban'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'veteran'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'load'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'patient nonvalvular'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'crt'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'polym'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'regimen'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'acut heart'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'pharmacolog'],\n",
       " ['background', 'pci', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'antithrombot'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'famili hypercholesterolemia'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'residu'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['xienc', 'background', 'arteri'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'electrocardiograph'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'arm'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'medic adher'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'stress'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'incomplet'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'tomographi angiographi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'radial'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'everolimus elut'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'sodium'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'zotarolimus elut'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'glucos'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'ivabradin'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'dual antiplatelet'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'pump'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'elev acut'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'exercis train'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'septal'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'stent restenosi'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'apixaban'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ['background', 'arteri', 'diseas'],\n",
       " ...]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "article_kws_ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Cluster'] = cluster_ls\n",
    "data['Cluster_no'] = clusterno_ls\n",
    "data['Article_kws'] = article_kws_ls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Write data to file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "data.to_csv(data_out)\n",
    "df.to_excel(data_out_xl)\n",
    "df.to_csv(data_out_csv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done in 0:00:54.030703\n"
     ]
    }
   ],
   "source": [
    "s = str(dt.now()-t_start)\n",
    "print('Done in '+s)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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