notebooks/count_inspire_records_with_hepdata.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# LHC publications with HEPData records"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook counts all [INSPIRE](https://inspirehep.net) records that have an associated [HEPData](https://www.hepdata.net) record using the [INSPIRE API](https://github.com/inspirehep/rest-api-doc).\n",
    "\n",
    "Count publications per LHC experiment per year and see which fraction has a HEPData record.\n",
    "\n",
    "Written by Graeme Watt on 11th October 2017.  Updated for new INSPIRE API on 15th April 2021."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## Get results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "Define a function to compose an Inspire query."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "def compose_query(collaboration='', year=0, has_hepdata=False):\n",
    "    \"\"\"\n",
    "    Compose an Inspire query for published papers, with optional arguments\n",
    "    to restrict by collaboration, year, and presence of a HEPData record.\n",
    "    \"\"\"\n",
    "\n",
    "    # Restrict search to papers published (in a refereed journal) that are not conference papers.\n",
    "    query = 'tc p and not tc c'\n",
    "    \n",
    "    # Restrict to papers that appear in the hep-ex or nucl-ex primary arXiv categories.\n",
    "    query += ' and (primarch hep-ex or primarch nucl-ex)'\n",
    "    \n",
    "    # Restrict search to a particular experimental collaboration.\n",
    "    # Empty collaboration searches for papers from all four main LHC collaborations.\n",
    "    if collaboration:\n",
    "        query += ' and collaboration:{}'.format(collaboration)\n",
    "    else:\n",
    "        query += ' and (collaboration:ALICE or collaboration:ATLAS or ' + \\\n",
    "        'collaboration:CMS or collaboration:LHCb)'\n",
    "        \n",
    "    # Restrict search to a particular year.\n",
    "    if year:\n",
    "        query += ' and date {}'.format(year)\n",
    "    \n",
    "    # Restrict search to publications that have a corresponding HEPData record.\n",
    "    if has_hepdata:\n",
    "        query += ' and external_system_identifiers.schema:HEPData'\n",
    "    \n",
    "    return query"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define a function to get the number of Inspire records for a given query."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "\n",
    "def get_num_results(query):\n",
    "    \"\"\"\n",
    "    Make a search using the INSPIRE API (https://github.com/inspirehep/rest-api-doc)\n",
    "    with output format in JSON and returning only the titles of the first record,\n",
    "    to save unnecessary output.  Returns the number of records in the search result.\n",
    "    \"\"\"\n",
    "    \n",
    "    payload = {'q': query, 'size': 1, 'fields': 'titles'}\n",
    "    url = 'https://inspirehep.net/api/literature'\n",
    "    \n",
    "    response = requests.get(url, params=payload)\n",
    "    \n",
    "    num_results = response.json()['hits']['total']\n",
    "    \n",
    "    return num_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Produce results for all years, then 2010 up to 2024, and the four main LHC collaborations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "years = [0]\n",
    "[years.append(year) for year in range(2010, 2025)]\n",
    "collaborations = ['', 'ALICE', 'ATLAS', 'CMS', 'LHCb']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loop over all years and collaborations and get number of results from Inspire."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Year all, ALICE+ATLAS+CMS+LHCb collaboration, 3698 papers, 1938 with HEPData, fraction 0.52.\n",
      "Year all, ALICE collaboration, 464 papers, 432 with HEPData, fraction 0.93.\n",
      "Year all, ATLAS collaboration, 1263 papers, 733 with HEPData, fraction 0.58.\n",
      "Year all, CMS collaboration, 1246 papers, 688 with HEPData, fraction 0.55.\n",
      "Year all, LHCb collaboration, 734 papers, 89 with HEPData, fraction 0.12.\n",
      "\n",
      "Year 2010, ALICE+ATLAS+CMS+LHCb collaboration, 46 papers, 32 with HEPData, fraction 0.70.\n",
      "Year 2010, ALICE collaboration, 11 papers, 10 with HEPData, fraction 0.91.\n",
      "Year 2010, ATLAS collaboration, 14 papers, 10 with HEPData, fraction 0.71.\n",
      "Year 2010, CMS collaboration, 19 papers, 10 with HEPData, fraction 0.53.\n",
      "Year 2010, LHCb collaboration, 2 papers, 2 with HEPData, fraction 1.00.\n",
      "\n",
      "Year 2011, ALICE+ATLAS+CMS+LHCb collaboration, 211 papers, 97 with HEPData, fraction 0.46.\n",
      "Year 2011, ALICE collaboration, 14 papers, 13 with HEPData, fraction 0.93.\n",
      "Year 2011, ATLAS collaboration, 92 papers, 47 with HEPData, fraction 0.51.\n",
      "Year 2011, CMS collaboration, 79 papers, 32 with HEPData, fraction 0.41.\n",
      "Year 2011, LHCb collaboration, 26 papers, 5 with HEPData, fraction 0.19.\n",
      "\n",
      "Year 2012, ALICE+ATLAS+CMS+LHCb collaboration, 411 papers, 149 with HEPData, fraction 0.36.\n",
      "Year 2012, ALICE collaboration, 37 papers, 33 with HEPData, fraction 0.89.\n",
      "Year 2012, ATLAS collaboration, 166 papers, 74 with HEPData, fraction 0.45.\n",
      "Year 2012, CMS collaboration, 133 papers, 29 with HEPData, fraction 0.22.\n",
      "Year 2012, LHCb collaboration, 75 papers, 13 with HEPData, fraction 0.17.\n",
      "\n",
      "Year 2013, ALICE+ATLAS+CMS+LHCb collaboration, 447 papers, 162 with HEPData, fraction 0.36.\n",
      "Year 2013, ALICE collaboration, 44 papers, 38 with HEPData, fraction 0.86.\n",
      "Year 2013, ATLAS collaboration, 141 papers, 66 with HEPData, fraction 0.47.\n",
      "Year 2013, CMS collaboration, 150 papers, 44 with HEPData, fraction 0.29.\n",
      "Year 2013, LHCb collaboration, 112 papers, 14 with HEPData, fraction 0.12.\n",
      "\n",
      "Year 2014, ALICE+ATLAS+CMS+LHCb collaboration, 344 papers, 171 with HEPData, fraction 0.50.\n",
      "Year 2014, ALICE collaboration, 31 papers, 28 with HEPData, fraction 0.90.\n",
      "Year 2014, ATLAS collaboration, 117 papers, 77 with HEPData, fraction 0.66.\n",
      "Year 2014, CMS collaboration, 107 papers, 50 with HEPData, fraction 0.47.\n",
      "Year 2014, LHCb collaboration, 90 papers, 16 with HEPData, fraction 0.18.\n",
      "\n",
      "Year 2015, ALICE+ATLAS+CMS+LHCb collaboration, 406 papers, 199 with HEPData, fraction 0.49.\n",
      "Year 2015, ALICE collaboration, 52 papers, 48 with HEPData, fraction 0.92.\n",
      "Year 2015, ATLAS collaboration, 157 papers, 75 with HEPData, fraction 0.48.\n",
      "Year 2015, CMS collaboration, 125 papers, 59 with HEPData, fraction 0.47.\n",
      "Year 2015, LHCb collaboration, 74 papers, 17 with HEPData, fraction 0.23.\n",
      "\n",
      "Year 2016, ALICE+ATLAS+CMS+LHCb collaboration, 434 papers, 205 with HEPData, fraction 0.47.\n",
      "Year 2016, ALICE collaboration, 48 papers, 47 with HEPData, fraction 0.98.\n",
      "Year 2016, ATLAS collaboration, 154 papers, 72 with HEPData, fraction 0.47.\n",
      "Year 2016, CMS collaboration, 156 papers, 74 with HEPData, fraction 0.47.\n",
      "Year 2016, LHCb collaboration, 77 papers, 13 with HEPData, fraction 0.17.\n",
      "\n",
      "Year 2017, ALICE+ATLAS+CMS+LHCb collaboration, 458 papers, 235 with HEPData, fraction 0.51.\n",
      "Year 2017, ALICE collaboration, 43 papers, 41 with HEPData, fraction 0.95.\n",
      "Year 2017, ATLAS collaboration, 136 papers, 94 with HEPData, fraction 0.69.\n",
      "Year 2017, CMS collaboration, 187 papers, 89 with HEPData, fraction 0.48.\n",
      "Year 2017, LHCb collaboration, 93 papers, 11 with HEPData, fraction 0.12.\n",
      "\n",
      "Year 2018, ALICE+ATLAS+CMS+LHCb collaboration, 474 papers, 256 with HEPData, fraction 0.54.\n",
      "Year 2018, ALICE collaboration, 52 papers, 49 with HEPData, fraction 0.94.\n",
      "Year 2018, ATLAS collaboration, 150 papers, 89 with HEPData, fraction 0.59.\n",
      "Year 2018, CMS collaboration, 208 papers, 112 with HEPData, fraction 0.54.\n",
      "Year 2018, LHCb collaboration, 65 papers, 6 with HEPData, fraction 0.09.\n",
      "\n",
      "Year 2019, ALICE+ATLAS+CMS+LHCb collaboration, 420 papers, 240 with HEPData, fraction 0.57.\n",
      "Year 2019, ALICE collaboration, 70 papers, 67 with HEPData, fraction 0.96.\n",
      "Year 2019, ATLAS collaboration, 128 papers, 77 with HEPData, fraction 0.60.\n",
      "Year 2019, CMS collaboration, 162 papers, 91 with HEPData, fraction 0.56.\n",
      "Year 2019, LHCb collaboration, 61 papers, 5 with HEPData, fraction 0.08.\n",
      "\n",
      "Year 2020, ALICE+ATLAS+CMS+LHCb collaboration, 354 papers, 216 with HEPData, fraction 0.61.\n",
      "Year 2020, ALICE collaboration, 61 papers, 58 with HEPData, fraction 0.95.\n",
      "Year 2020, ATLAS collaboration, 108 papers, 80 with HEPData, fraction 0.74.\n",
      "Year 2020, CMS collaboration, 118 papers, 73 with HEPData, fraction 0.62.\n",
      "Year 2020, LHCb collaboration, 68 papers, 5 with HEPData, fraction 0.07.\n",
      "\n",
      "Year 2021, ALICE+ATLAS+CMS+LHCb collaboration, 339 papers, 224 with HEPData, fraction 0.66.\n",
      "Year 2021, ALICE collaboration, 66 papers, 62 with HEPData, fraction 0.94.\n",
      "Year 2021, ATLAS collaboration, 92 papers, 64 with HEPData, fraction 0.70.\n",
      "Year 2021, CMS collaboration, 109 papers, 87 with HEPData, fraction 0.80.\n",
      "Year 2021, LHCb collaboration, 72 papers, 11 with HEPData, fraction 0.15.\n",
      "\n",
      "Year 2022, ALICE+ATLAS+CMS+LHCb collaboration, 401 papers, 276 with HEPData, fraction 0.69.\n",
      "Year 2022, ALICE collaboration, 81 papers, 76 with HEPData, fraction 0.94.\n",
      "Year 2022, ATLAS collaboration, 112 papers, 73 with HEPData, fraction 0.65.\n",
      "Year 2022, CMS collaboration, 129 papers, 119 with HEPData, fraction 0.92.\n",
      "Year 2022, LHCb collaboration, 80 papers, 9 with HEPData, fraction 0.11.\n",
      "\n",
      "Year 2023, ALICE+ATLAS+CMS+LHCb collaboration, 489 papers, 317 with HEPData, fraction 0.65.\n",
      "Year 2023, ALICE collaboration, 93 papers, 89 with HEPData, fraction 0.96.\n",
      "Year 2023, ATLAS collaboration, 176 papers, 115 with HEPData, fraction 0.65.\n",
      "Year 2023, CMS collaboration, 124 papers, 111 with HEPData, fraction 0.90.\n",
      "Year 2023, LHCb collaboration, 98 papers, 4 with HEPData, fraction 0.04.\n",
      "\n",
      "Year 2024, ALICE+ATLAS+CMS+LHCb collaboration, 256 papers, 149 with HEPData, fraction 0.58.\n",
      "Year 2024, ALICE collaboration, 39 papers, 35 with HEPData, fraction 0.90.\n",
      "Year 2024, ATLAS collaboration, 96 papers, 51 with HEPData, fraction 0.53.\n",
      "Year 2024, CMS collaboration, 69 papers, 64 with HEPData, fraction 0.93.\n",
      "Year 2024, LHCb collaboration, 54 papers, 1 with HEPData, fraction 0.02.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_results = {}\n",
    "num_results_with_hepdata = {}\n",
    "fraction_of_results_with_hepdata = {}\n",
    "\n",
    "for year in years:\n",
    "\n",
    "    num_results[year] = {} \n",
    "    num_results_with_hepdata[year] = {}\n",
    "    fraction_of_results_with_hepdata[year] = {}\n",
    "    \n",
    "    for collaboration in collaborations:\n",
    "        \n",
    "        query = compose_query(collaboration, year)\n",
    "        num_results[year][collaboration] = get_num_results(query)\n",
    "        \n",
    "        query_with_hepdata = compose_query(collaboration, year, True)\n",
    "        num_results_with_hepdata[year][collaboration] = get_num_results(query_with_hepdata)\n",
    "        \n",
    "        if num_results[year][collaboration] > 0:\n",
    "            fraction_of_results_with_hepdata[year][collaboration] = \\\n",
    "            float(num_results_with_hepdata[year][collaboration]) / \\\n",
    "            float(num_results[year][collaboration])\n",
    "        else:\n",
    "            fraction_of_results_with_hepdata[year][collaboration] = 0\n",
    "        \n",
    "        print('Year {}, {} collaboration, {} papers, {} with HEPData, fraction {:.2f}.'.format(\n",
    "            year if year else 'all',collaboration if collaboration else 'ALICE+ATLAS+CMS+LHCb',\n",
    "            num_results[year][collaboration],\n",
    "            num_results_with_hepdata[year][collaboration],\n",
    "            fraction_of_results_with_hepdata[year][collaboration]))\n",
    "\n",
    "    print('')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make some plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import date\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_theme(style='whitegrid')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Take all years together.  Make a bar chart of number of papers for {ALICE, ATLAS, CMS, LHCb} and the subset with a HEPData record."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [collaboration for collaboration in collaborations if collaboration]\n",
    "values = [num_results[0][collaboration] for collaboration in collaborations if collaboration]\n",
    "values_with_hepdata = [num_results_with_hepdata[0][collaboration] \n",
    "                       for collaboration in collaborations if collaboration]\n",
    "\n",
    "plt.figure(facecolor='white')\n",
    "x = 2*labels\n",
    "y = values + values_with_hepdata\n",
    "hue = len(labels)*['All papers'] + len(labels)*['With HEPData']\n",
    "sns.barplot(x=x, y=y, hue=hue)\n",
    "plt.title('LHC publications with HEPData records ({})'.format(date.today()))\n",
    "plt.xlabel('Collaboration')\n",
    "plt.ylabel('Number of papers')\n",
    "plt.savefig('allyears_{}.png'.format(date.today()))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the fraction of papers with a HEPData record for {ALICE, ATLAS, CMS, LHCb}."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fraction_with_hepdata = [fraction_of_results_with_hepdata[0][collaboration]\n",
    "                         for collaboration in collaborations if collaboration]\n",
    "plt.figure(facecolor='white')\n",
    "x = labels\n",
    "y = fraction_with_hepdata\n",
    "sns.barplot(x=x, y=y)\n",
    "plt.ylim(0.0, 1.0)\n",
    "plt.title('LHC publications with HEPData records ({})'.format(date.today()))\n",
    "plt.xlabel('Collaboration')\n",
    "plt.ylabel('Fraction of papers with HEPData')\n",
    "plt.savefig('allyears_fraction_{}.png'.format(date.today()))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each of the four experiments {ALICE, ATLAS, CMS, LHCb}, make a bar chart of number of papers versus year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(facecolor='white', figsize=(15,15))\n",
    "for sub in range(1, 5):\n",
    "    plt.subplot(2, 2, sub)\n",
    "    collaboration = collaborations[sub]\n",
    "    labels = [year for year in years if year]\n",
    "    values = [num_results[year][collaboration] for year in years if year]\n",
    "    values_with_hepdata = [num_results_with_hepdata[year][collaboration] \n",
    "                           for year in years if year]\n",
    "    x = 2*labels\n",
    "    y = values + values_with_hepdata\n",
    "    hue = len(labels)*['All papers'] + len(labels)*['With HEPData']\n",
    "    sns.barplot(x=x, y=y, hue=hue)\n",
    "    plt.title(collaboration)\n",
    "    plt.xlabel('Year')\n",
    "    plt.ylabel('Number of papers')\n",
    "plt.suptitle('LHC publications with HEPData records ({})'.format(date.today()), \n",
    "             fontsize='xx-large')\n",
    "plt.savefig('breakdown_{}.png'.format(date.today()))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each of the four experiments {ALICE, ATLAS, CMS, LHCb}, make a bar chart of the fraction of papers with a HEPData record versus year."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(facecolor='white', figsize=(15,15))\n",
    "for sub in range(1, 5):\n",
    "    plt.subplot(2, 2, sub)\n",
    "    collaboration = collaborations[sub]\n",
    "    labels = [year for year in years if year]\n",
    "    values = [num_results[year][collaboration] for year in years if year]\n",
    "    fraction_with_hepdata = [fraction_of_results_with_hepdata[year][collaboration]\n",
    "                             for year in years if year]\n",
    "    x = labels\n",
    "    y = fraction_with_hepdata\n",
    "    sns.barplot(x=x, y=y)\n",
    "    plt.ylim(0.0, 1.0)\n",
    "    plt.title(collaboration)\n",
    "    plt.xlabel('Year')\n",
    "    plt.ylabel('Fraction of papers with HEPData')\n",
    "plt.suptitle('LHC publications with HEPData records ({})'.format(date.today()), \n",
    "             fontsize='xx-large')\n",
    "plt.savefig('breakdown_fraction_{}.png'.format(date.today()))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get results for your favourite experiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PHENIX collaboration, 227 papers, 213 with HEPData, fraction 0.94.\n"
     ]
    }
   ],
   "source": [
    "my_collaboration = 'PHENIX'\n",
    "\n",
    "query = compose_query(my_collaboration)\n",
    "my_num_results = get_num_results(query)\n",
    "        \n",
    "query_with_hepdata = compose_query(my_collaboration, has_hepdata=True)\n",
    "my_num_results_with_hepdata = get_num_results(query_with_hepdata)\n",
    "        \n",
    "if my_num_results > 0:\n",
    "    my_fraction_of_results_with_hepdata = float(my_num_results_with_hepdata) / float(my_num_results)\n",
    "else:\n",
    "    my_fraction_of_results_with_hepdata = 0\n",
    "        \n",
    "print('{} collaboration, {} papers, {} with HEPData, fraction {:.2f}.'.format(\n",
    "    my_collaboration, my_num_results, my_num_results_with_hepdata, my_fraction_of_results_with_hepdata))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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",
   "version": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}