{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ffe8ff9f-19d3-4782-80c4-827c46a381c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2400x1800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "from itertools import combinations\n",
    "from collections import Counter\n",
    "\n",
    "# ==========================================\n",
    "# 1. DATA EXTRACTION\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "papers = content.split('\\nER')\n",
    "all_keywords_per_paper = []\n",
    "keyword_counter = Counter()\n",
    "\n",
    "for paper in papers:\n",
    "    kws = []\n",
    "    lines = paper.split('\\n')\n",
    "    for line in lines:\n",
    "        if line.startswith('DE ') or line.startswith('ID '):\n",
    "            kw_string = line[3:].strip()\n",
    "            kws.extend([k.strip().upper() for k in kw_string.split(';') if k.strip()])\n",
    "    \n",
    "    if kws:\n",
    "        unique_kws = list(set(kws))\n",
    "        all_keywords_per_paper.append(unique_kws)\n",
    "        keyword_counter.update(unique_kws)\n",
    "\n",
    "# ==========================================\n",
    "# 2. NETWORK CONSTRUCTION & FILTERING\n",
    "# ==========================================\n",
    "G = nx.Graph()\n",
    "\n",
    "for kws in all_keywords_per_paper:\n",
    "    for w1, w2 in combinations(kws, 2):\n",
    "        if G.has_edge(w1, w2):\n",
    "            G[w1][w2]['weight'] += 1\n",
    "        else:\n",
    "            G.add_edge(w1, w2, weight=1)\n",
    "\n",
    "threshold = 3 \n",
    "edges_to_keep = [(u, v) for u, v, d in G.edges(data=True) if d['weight'] >= threshold]\n",
    "G_filtered = G.edge_subgraph(edges_to_keep).copy()\n",
    "G_filtered.remove_nodes_from(list(nx.isolates(G_filtered)))\n",
    "\n",
    "# ==========================================\n",
    "# 3. THE OFFSET PLOT\n",
    "# ==========================================\n",
    "plt.figure(figsize=(24, 18))\n",
    "\n",
    "# 1. BIGGER NODES: Increased the multiplier from 70 to 150\n",
    "node_sizes = [dict(G_filtered.degree)[node] * 150 for node in G_filtered.nodes()]\n",
    "\n",
    "# Calculate the layout positions\n",
    "pos = nx.spring_layout(G_filtered, k=1.8, iterations=300, seed=42)\n",
    "\n",
    "# Draw Nodes\n",
    "nx.draw_networkx_nodes(G_filtered, pos, node_size=node_sizes, node_color='#87CEEB', \n",
    "                       alpha=0.9, edgecolors='black', linewidths=1.5)\n",
    "\n",
    "# Draw Edges\n",
    "nx.draw_networkx_edges(G_filtered, pos, width=1.2, alpha=0.35, edge_color='gray')\n",
    "\n",
    "# 2. THE Y-AXIS OFFSET: Create a shadow set of positions shifted slightly down\n",
    "# (Subtracting 0.035 from the Y-coordinate drops the text perfectly below the node)\n",
    "pos_labels = {}\n",
    "for node, coords in pos.items():\n",
    "    pos_labels[node] = (coords[0], coords[1] - 0.03)\n",
    "\n",
    "# Draw Labels using the NEW offset positions (pos_labels)\n",
    "nx.draw_networkx_labels(G_filtered, pos_labels, font_size=12.5, \n",
    "                        font_family='sans-serif', font_weight='bold',\n",
    "                        bbox=dict(facecolor='white', edgecolor='none', alpha=0.75, pad=0.5))\n",
    "\n",
    "plt.axis('off')\n",
    "plt.tight_layout()\n",
    "\n",
    "# ==========================================\n",
    "# 4. EXPORT\n",
    "# ==========================================\n",
    "plt.savefig('Figure_2_Keyword_Network.tiff', dpi=600, bbox_inches='tight', format='tiff')\n",
    "plt.savefig('Figure_2_Keyword_Network.png', dpi=300, bbox_inches='tight', format='png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7c66b018-2a18-42c1-9ec2-411a78a622ef",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracted publication years for 194 papers. Generating timeline...\n",
      "Success! High-resolution Figure 1 saved to your directory.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from collections import Counter\n",
    "\n",
    "# ==========================================\n",
    "# 1. DATA EXTRACTION (PUBLICATION YEARS)\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "# Web of Science records end with 'ER'\n",
    "papers = content.split('\\nER')\n",
    "years = []\n",
    "\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    for line in lines:\n",
    "        # 'PY' is the Web of Science tag for Publication Year\n",
    "        if line.startswith('PY '):\n",
    "            year_str = line[3:].strip()\n",
    "            if year_str.isdigit():\n",
    "                years.append(int(year_str))\n",
    "            break\n",
    "\n",
    "print(f\"Extracted publication years for {len(years)} papers. Generating timeline...\")\n",
    "\n",
    "# ==========================================\n",
    "# 2. DATA PROCESSING\n",
    "# ==========================================\n",
    "year_counts = Counter(years)\n",
    "\n",
    "# Convert to a DataFrame and sort chronologically\n",
    "df_years = pd.DataFrame.from_dict(year_counts, orient='index', columns=['Count'])\n",
    "df_years.index.name = 'Year'\n",
    "df_years = df_years.sort_index()\n",
    "\n",
    "# ==========================================\n",
    "# 3. HIGH-RESOLUTION PLOTTING\n",
    "# ==========================================\n",
    "plt.figure(figsize=(14, 7))\n",
    "\n",
    "# Create the bar chart\n",
    "# '#0B3D91' is the official \"NASA Blue\" hex code\n",
    "bars = plt.bar(df_years.index, df_years['Count'], color='#0B3D91', edgecolor='black', linewidth=1.2, zorder=2)\n",
    "\n",
    "# Styling the graph for Springer submission (No title on the image itself)\n",
    "plt.xlabel(\"Publication Year\", fontsize=12, fontweight='bold', labelpad=10)\n",
    "plt.ylabel(\"Number of Publications\", fontsize=12, fontweight='bold', labelpad=10)\n",
    "\n",
    "# Ensure every year is shown on the X-axis and rotated for readability\n",
    "plt.xticks(df_years.index, rotation=45, ha='right', fontsize=10)\n",
    "plt.yticks(fontsize=10)\n",
    "\n",
    "# Add a subtle background grid for readability\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.5, zorder=1)\n",
    "\n",
    "# Add the exact publication count on top of each bar\n",
    "for bar in bars:\n",
    "    height = bar.get_height()\n",
    "    plt.text(bar.get_x() + bar.get_width()/2., height + 0.5,\n",
    "             f'{int(height)}',\n",
    "             ha='center', va='bottom', fontsize=9, fontweight='bold')\n",
    "\n",
    "# Remove top and right spines for a cleaner, modern academic look\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "# ==========================================\n",
    "# 4. EXPORT FOR SPRINGER\n",
    "# ==========================================\n",
    "plt.savefig('Figure_1_Annual_Trend.tiff', dpi=600, bbox_inches='tight', format='tiff')\n",
    "plt.savefig('Figure_1_Annual_Trend.png', dpi=300, bbox_inches='tight', format='png')\n",
    "\n",
    "print(\"Success! High-resolution Figure 1 saved to your directory.\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e557a7a-c304-4632-9474-05507b689460",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS: Publication-ready table generated!\n",
      "File saved as: Table_1_Authors_and_Journals.csv\n",
      "\n",
      "Preview of your table:\n",
      "\n",
      "|   Rank | Most Prolific Authors   |   Author Count (n) | Most Active Journals                         |   Journal Count (n) |\n",
      "|-------:|:------------------------|-------------------:|:---------------------------------------------|--------------------:|\n",
      "|      1 | Lee, Ag                 |                 31 | Npj Microgravity                             |                  22 |\n",
      "|      2 | Gibson, Cr              |                 24 | Journal Of Applied Physiology                |                  14 |\n",
      "|      3 | Mader, Th               |                 23 | Jama Ophthalmology                           |                  13 |\n",
      "|      4 | Macias, Br              |                 21 | Aerospace Medicine And Human Performance     |                  12 |\n",
      "|      5 | Ong, J                  |                 21 | Life Sciences In Space Research              |                  10 |\n",
      "|      6 | Laurie, Ss              |                 15 | Aviation Space And Environmental Medicine    |                   9 |\n",
      "|      7 | Wostyn, P               |                 15 | Investigative Ophthalmology & Visual Science |                   7 |\n",
      "|      8 | Stenger, Mb             |                 14 | Eye                                          |                   7 |\n",
      "|      9 | Marshall-Goebel, K      |                 13 | Physiological Reports                        |                   4 |\n",
      "|     10 | Hargens, Ar             |                 13 | Current Opinion In Ophthalmology             |                   3 |\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from collections import Counter\n",
    "\n",
    "# ==========================================\n",
    "# 1. LOAD AND PARSE THE DATA\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "papers = content.split('\\nER')\n",
    "\n",
    "all_authors = []\n",
    "all_journals = []\n",
    "\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    current_tag = \"\"\n",
    "    \n",
    "    for line in lines:\n",
    "        if len(line) >= 3 and line[0:2].isalpha() and line[2] == ' ':\n",
    "            current_tag = line[0:2]\n",
    "            value = line[3:].strip()\n",
    "        elif line.startswith('   '): \n",
    "            value = line.strip()\n",
    "        else:\n",
    "            continue\n",
    "            \n",
    "        # Collect Authors (Title Case for formatting)\n",
    "        if current_tag == 'AU':\n",
    "            all_authors.append(value.title())\n",
    "            \n",
    "        # Collect Journals (Title Case is required for Springer tables)\n",
    "        elif current_tag == 'SO':\n",
    "            all_journals.append(value.title())\n",
    "\n",
    "# ==========================================\n",
    "# 2. CALCULATE TOP 10 RANKINGS\n",
    "# ==========================================\n",
    "author_counts = Counter(all_authors).most_common(10)\n",
    "journal_counts = Counter(all_journals).most_common(10)\n",
    "\n",
    "# ==========================================\n",
    "# 3. BUILD THE PUBLICATION-READY DATAFRAME\n",
    "# ==========================================\n",
    "# This structures the data side-by-side \n",
    "table_data = {\n",
    "    \"Rank\": [i + 1 for i in range(10)],\n",
    "    \"Most Prolific Authors\": [author[0] for author in author_counts],\n",
    "    \"Author Count (n)\": [author[1] for author in author_counts],\n",
    "    \"Most Active Journals\": [journal[0] for journal in journal_counts],\n",
    "    \"Journal Count (n)\": [journal[1] for journal in journal_counts]\n",
    "}\n",
    "\n",
    "df_table1 = pd.DataFrame(table_data)\n",
    "\n",
    "# Set the 'Rank' column as the true index for a cleaner look\n",
    "df_table1.set_index(\"Rank\", inplace=True)\n",
    "\n",
    "# ==========================================\n",
    "# 4. EXPORT TO CSV\n",
    "# ==========================================\n",
    "export_filename = 'Table_1_Authors_and_Journals.csv'\n",
    "df_table1.to_csv(export_filename)\n",
    "\n",
    "print(\"SUCCESS: Publication-ready table generated!\")\n",
    "print(f\"File saved as: {export_filename}\")\n",
    "print(\"\\nPreview of your table:\\n\")\n",
    "print(df_table1.to_markdown())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "4591c8dc-b8dc-482c-be54-fbd668656c6f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== MANUSCRIPT DATA EXTRACTOR ===\n",
      "\n",
      "Total Documents Analyzed: 194\n",
      "\n",
      "1. CURATORIAL CHARACTERISTICS (DT & LA)\n",
      "- Article: 114 papers (58.8%)\n",
      "- Review: 52 papers (26.8%)\n",
      "- Proceedings Paper: 8 papers (4.1%)\n",
      "- Languages: English (192 papers)\n",
      "\n",
      "2. ACADEMIC IMPACT (TC & NR)\n",
      "- Total Citations across all papers: 4,621\n",
      "- Average Citations per paper: 23.8\n",
      "- Average References per paper: 50.5\n",
      "\n",
      "3. DISCIPLINARY DIVERSITY (Top 5 WoS Categories)\n",
      "- Ophthalmology: 55 papers\n",
      "- Multidisciplinary Sciences: 38 papers\n",
      "- Physiology: 32 papers\n",
      "- Public, Environmental & Occupational Health: 22 papers\n",
      "- Neurosciences: 17 papers\n",
      "\n",
      "4. ECONOMIC INFRASTRUCTURE (Top 5 Funding Agencies)\n",
      "- Nasa: 26 funded papers\n",
      "- Nasa Human Research Program: 7 funded papers\n",
      "- National Space Biomedical Research Institute: 5 funded papers\n",
      "- National Aeronautics And Space Administration (Nasa): 4 funded papers\n"
     ]
    }
   ],
   "source": [
    "import re\n",
    "from collections import Counter\n",
    "\n",
    "# ==========================================\n",
    "# 1. LOAD THE DATA\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "# Split into individual papers (WoS format ends with ER)\n",
    "papers = [p for p in content.split('\\nER') if p.strip()]\n",
    "\n",
    "# ==========================================\n",
    "# 2. INITIALIZE TRACKERS\n",
    "# ==========================================\n",
    "doc_types = []\n",
    "languages = []\n",
    "categories = []\n",
    "funding_agencies = []\n",
    "citations = []\n",
    "references = []\n",
    "\n",
    "# ==========================================\n",
    "# 3. PARSE THE METADATA\n",
    "# ==========================================\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    \n",
    "    for line in lines:\n",
    "        # Document Type (DT)\n",
    "        if line.startswith('DT '):\n",
    "            doc_types.append(line[3:].strip().title())\n",
    "            \n",
    "        # Language (LA)\n",
    "        elif line.startswith('LA '):\n",
    "            languages.append(line[3:].strip().title())\n",
    "            \n",
    "        # Web of Science Categories (WC)\n",
    "        elif line.startswith('WC '):\n",
    "            cats = [c.strip() for c in line[3:].split(';')]\n",
    "            categories.extend(cats)\n",
    "            \n",
    "        # Funding Agencies (FU)\n",
    "        elif line.startswith('FU '):\n",
    "            # Split multiple agencies and remove grant numbers in brackets\n",
    "            agencies = [a.strip() for a in line[3:].split(';')]\n",
    "            cleaned_agencies = [re.sub(r'\\[.*?\\]', '', a).strip() for a in agencies]\n",
    "            # Filter out empty strings\n",
    "            funding_agencies.extend([a for a in cleaned_agencies if a])\n",
    "            \n",
    "        # Total Citations (TC)\n",
    "        elif line.startswith('TC '):\n",
    "            try: citations.append(int(line[3:].strip()))\n",
    "            except ValueError: pass\n",
    "            \n",
    "        # Number of References (NR)\n",
    "        elif line.startswith('NR '):\n",
    "            try: references.append(int(line[3:].strip()))\n",
    "            except ValueError: pass\n",
    "\n",
    "# ==========================================\n",
    "# 4. CALCULATE AND PRINT RESULTS FOR MANUSCRIPT\n",
    "# ==========================================\n",
    "total_papers = len(papers)\n",
    "\n",
    "print(\"=== MANUSCRIPT DATA EXTRACTOR ===\\n\")\n",
    "print(f\"Total Documents Analyzed: {total_papers}\")\n",
    "\n",
    "print(\"\\n1. CURATORIAL CHARACTERISTICS (DT & LA)\")\n",
    "for dt, count in Counter(doc_types).most_common(3):\n",
    "    print(f\"- {dt}: {count} papers ({round((count/total_papers)*100, 1)}%)\")\n",
    "print(f\"- Languages: {Counter(languages).most_common(1)[0][0]} ({Counter(languages).most_common(1)[0][1]} papers)\")\n",
    "\n",
    "print(\"\\n2. ACADEMIC IMPACT (TC & NR)\")\n",
    "print(f\"- Total Citations across all papers: {sum(citations):,}\")\n",
    "if citations:\n",
    "    print(f\"- Average Citations per paper: {round(sum(citations)/len(citations), 1)}\")\n",
    "if references:\n",
    "    print(f\"- Average References per paper: {round(sum(references)/len(references), 1)}\")\n",
    "\n",
    "print(\"\\n3. DISCIPLINARY DIVERSITY (Top 5 WoS Categories)\")\n",
    "for cat, count in Counter(categories).most_common(5):\n",
    "    print(f\"- {cat}: {count} papers\")\n",
    "\n",
    "print(\"\\n4. ECONOMIC INFRASTRUCTURE (Top 5 Funding Agencies)\")\n",
    "for agency, count in Counter(funding_agencies).most_common(5):\n",
    "    # Only print if it's a real agency name, not just a stray grant number\n",
    "    if len(agency) > 3: \n",
    "        print(f\"- {agency.title()}: {count} funded papers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "99a62842-c48e-4d1f-915b-67ddc3a57cfa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS: Full Citation Analysis complete!\n",
      "File saved as: Table_2_Most_Cited_Papers.csv\n",
      "\n",
      "Preview of Table 2:\n",
      "\n",
      "         First Author  Year  \\\n",
      "Rank                          \n",
      "1        Mader et al.  2011   \n",
      "2          Lee et al.  2020   \n",
      "3        Zhang et al.  2018   \n",
      "4          Lee et al.  2018   \n",
      "5          Lee et al.  2017   \n",
      "6       Macias et al.  2020   \n",
      "7       Laurie et al.  2020   \n",
      "8        Kawai et al.  1993   \n",
      "9     Petersen et al.  2019   \n",
      "10       Feola et al.  2016   \n",
      "\n",
      "                                                  Title  Total Citations  \\\n",
      "Rank                                                                       \n",
      "1     Optic Disc Edema, Globe Flattening, Choroidal ...              551   \n",
      "2     Spaceflight Associated Neuro-Ocular Syndrome (...              243   \n",
      "3     Spaceflight-Induced Intracranial Hypertension ...              181   \n",
      "4     Space Flight-Associated Neuro-Ocular Syndrome ...              123   \n",
      "5         Space Flight-Associated Neuro-Ocular Syndrome               96   \n",
      "6     Association Of Long-Duration Spaceflight With ...               94   \n",
      "7     Optic Disc Edema And Choroidal Engorgement In ...               92   \n",
      "8     Cerebral Blood-Flow Velocity In Humans Exposed...               80   \n",
      "9     Lower Body Negative Pressure To Safely Reduce ...               79   \n",
      "10    Finite Element Modeling Of Factors Influencing...               77   \n",
      "\n",
      "                                           Journal  \n",
      "Rank                                                \n",
      "1                                    Ophthalmology  \n",
      "2                                 Npj Microgravity  \n",
      "3                            Physiological Reviews  \n",
      "4                                              Eye  \n",
      "5                               Jama Ophthalmology  \n",
      "6                               Jama Ophthalmology  \n",
      "7                               Jama Ophthalmology  \n",
      "8                    Journal Of Applied Physiology  \n",
      "9                     Journal Of Physiology-London  \n",
      "10    Investigative Ophthalmology & Visual Science  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# ==========================================\n",
    "# 1. LOAD AND PARSE THE DATA\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "papers = [p for p in content.split('\\nER') if p.strip()]\n",
    "\n",
    "citations_data = []\n",
    "\n",
    "# ==========================================\n",
    "# 2. EXTRACT METADATA FOR EACH PAPER\n",
    "# ==========================================\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    \n",
    "    title = \"\"\n",
    "    authors = []\n",
    "    year = \"\"\n",
    "    journal = \"\"\n",
    "    tc = 0\n",
    "    current_tag = \"\"\n",
    "    \n",
    "    for line in lines:\n",
    "        # Check for 2-letter WoS tags\n",
    "        if len(line) >= 3 and line[0:2].isalpha() and line[2] == ' ':\n",
    "            current_tag = line[0:2]\n",
    "            value = line[3:].strip()\n",
    "        # Continuation of previous tag\n",
    "        elif line.startswith('   '): \n",
    "            value = line.strip()\n",
    "        else:\n",
    "            continue\n",
    "            \n",
    "        if current_tag == 'TI':\n",
    "            title += \" \" + value if title else value\n",
    "        elif current_tag == 'AU':\n",
    "            authors.append(value.title())\n",
    "        elif current_tag == 'PY':\n",
    "            year = value\n",
    "        elif current_tag == 'SO':\n",
    "            journal = value.title()\n",
    "        elif current_tag == 'TC':\n",
    "            try: tc = int(value)\n",
    "            except ValueError: tc = 0\n",
    "            \n",
    "    # Clean the title \n",
    "    if title:\n",
    "        title_clean = title.title()\n",
    "        first_author = authors[0].split(',')[0] + \" et al.\" if authors else \"Unknown\"\n",
    "        \n",
    "        citations_data.append({\n",
    "            'Rank': 0, \n",
    "            'First Author': first_author,\n",
    "            'Year': year,\n",
    "            'Title': title_clean,\n",
    "            'Journal': journal,\n",
    "            'Total Citations': tc\n",
    "        })\n",
    "\n",
    "# ==========================================\n",
    "# 3. BUILD AND SORT THE DATAFRAME\n",
    "# ==========================================\n",
    "df_citations = pd.DataFrame(citations_data)\n",
    "\n",
    "# Sort by highest citations and take top 10\n",
    "df_citations = df_citations.sort_values(by='Total Citations', ascending=False).head(10)\n",
    "\n",
    "# Set the Rank index\n",
    "df_citations['Rank'] = range(1, 11)\n",
    "df_citations.set_index('Rank', inplace=True)\n",
    "\n",
    "# ==========================================\n",
    "# 4. EXPORT TO CSV\n",
    "# ==========================================\n",
    "export_filename = 'Table_2_Most_Cited_Papers.csv'\n",
    "df_citations.to_csv(export_filename)\n",
    "\n",
    "print(\"SUCCESS: Full Citation Analysis complete!\")\n",
    "print(f\"File saved as: {export_filename}\")\n",
    "print(\"\\nPreview of Table 2:\\n\")\n",
    "\n",
    "# Configure pandas to show more of the title without cutting it off completely\n",
    "pd.set_option('display.max_colwidth', 50)\n",
    "print(df_citations[['First Author', 'Year', 'Title', 'Total Citations', 'Journal']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e64b8889-b662-4dcc-9a3f-100e6c566711",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Success! High-resolution Figure 3 (Heatmap) saved to your directory.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import re\n",
    "import itertools\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from collections import Counter\n",
    "\n",
    "# ==========================================\n",
    "# 1. DATA EXTRACTION\n",
    "# ==========================================\n",
    "file_path = 'spacepaper_clean.txt'\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "papers = [p for p in content.split('\\nER') if p.strip()]\n",
    "\n",
    "co_occurrences = []\n",
    "node_frequencies = Counter()\n",
    "\n",
    "# ==========================================\n",
    "# 2. PARSE AFFILIATIONS AND STANDARDIZE\n",
    "# ==========================================\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    current_insts = set() \n",
    "    \n",
    "    in_c1 = False\n",
    "    for line in lines:\n",
    "        if line.startswith('C1 '):\n",
    "            in_c1 = True\n",
    "            text = line[3:].strip()\n",
    "        elif in_c1 and line.startswith('   '):\n",
    "            text = line.strip()\n",
    "        elif in_c1 and len(line) >= 3 and line[0:2].isalpha() and line[2] == ' ':\n",
    "            in_c1 = False\n",
    "            continue\n",
    "        else:\n",
    "            continue\n",
    "            \n",
    "        if in_c1:\n",
    "            # Extract institution name\n",
    "            match = re.search(r'\\]\\s*([^,]+)', text)\n",
    "            if match:\n",
    "                inst = match.group(1).strip().title()\n",
    "                \n",
    "                # Standardize names to prevent fragmentation\n",
    "                if 'Nasa' in inst: inst = 'NASA Johnson Space Center'\n",
    "                elif 'Houston Methodist' in inst: inst = 'Houston Methodist Hospital'\n",
    "                elif 'Baylor' in inst: inst = 'Baylor College of Medicine'\n",
    "                elif 'Texas A&M' in inst: inst = 'Texas A&M University'\n",
    "                elif 'Ucsd' in inst or 'San Diego' in inst: inst = 'UC San Diego'\n",
    "                elif 'Davis' in inst: inst = 'UC Davis'\n",
    "                elif 'Kbr' in inst: inst = 'KBR Wyle Services'\n",
    "                \n",
    "                # Keep names short for the axis labels\n",
    "                if len(inst) > 25: inst = inst[:25] + \"...\"\n",
    "                \n",
    "                current_insts.add(inst)\n",
    "                node_frequencies[inst] += 1\n",
    "                \n",
    "    # Create collaboration pairs\n",
    "    if len(current_insts) > 1:\n",
    "        pairs = list(itertools.combinations(list(current_insts), 2))\n",
    "        co_occurrences.extend(pairs)\n",
    "\n",
    "# ==========================================\n",
    "# 3. BUILD THE CO-OCCURRENCE MATRIX\n",
    "# ==========================================\n",
    "# Keep only the top 15 institutions for a clean, readable heatmap\n",
    "top_insts = [node for node, count in node_frequencies.most_common(15)]\n",
    "\n",
    "# Initialize an empty dataframe (15x15 grid of zeros)\n",
    "matrix = pd.DataFrame(np.zeros((len(top_insts), len(top_insts))), \n",
    "                      index=top_insts, columns=top_insts)\n",
    "\n",
    "# Populate the matrix with collaboration counts\n",
    "for (inst1, inst2) in co_occurrences:\n",
    "    if inst1 in top_insts and inst2 in top_insts:\n",
    "        matrix.at[inst1, inst2] += 1\n",
    "        matrix.at[inst2, inst1] += 1 \n",
    "\n",
    "# ==========================================\n",
    "# 4. HIGH-RESOLUTION PLOTTING (SPRINGER STYLE)\n",
    "# ==========================================\n",
    "plt.figure(figsize=(10, 8))\n",
    "\n",
    "# Create a mask to hide the upper triangle \n",
    "mask = np.triu(np.ones_like(matrix, dtype=bool))\n",
    "\n",
    "# Plot the heatmap using a custom blue colormap\n",
    "sns.heatmap(matrix, mask=mask, cmap=\"Blues\", annot=True, fmt=\"g\", \n",
    "            linewidths=0.5, linecolor='white', cbar_kws={\"shrink\": .75},\n",
    "            annot_kws={\"size\": 10, \"weight\": \"bold\"})\n",
    "\n",
    "# Tweak the axes for academic aesthetics\n",
    "plt.xticks(rotation=45, ha='right', fontsize=11)\n",
    "plt.yticks(fontsize=11)\n",
    "plt.title(\"Institutional Co-Authorship Matrix\", fontsize=14, fontweight='bold', pad=20)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "# ==========================================\n",
    "# 5. EXPORT FOR SPRINGER\n",
    "# ==========================================\n",
    "plt.savefig('Figure_3_Collaboration_Heatmap.tiff', dpi=600, bbox_inches='tight', format='tiff')\n",
    "plt.savefig('Figure_3_Collaboration_Heatmap.png', dpi=300, bbox_inches='tight', format='png')\n",
    "\n",
    "print(\"Success! High-resolution Figure 3 (Heatmap) saved to your directory.\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2cfa5c45-3235-467e-9b80-0fb97cee6714",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    },
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting seaborn\n",
      "  Using cached seaborn-0.13.2-py3-none-any.whl.metadata (5.4 kB)\n",
      "Requirement already satisfied: numpy!=1.24.0,>=1.20 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from seaborn) (2.2.5)\n",
      "Requirement already satisfied: pandas>=1.2 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from seaborn) (2.3.3)\n",
      "Requirement already satisfied: matplotlib!=3.6.1,>=3.4 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from seaborn) (3.10.8)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (4.62.1)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (1.4.9)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (26.0)\n",
      "Requirement already satisfied: pillow>=8 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (12.1.1)\n",
      "Requirement already satisfied: pyparsing>=3 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (3.2.5)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from matplotlib!=3.6.1,>=3.4->seaborn) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from pandas>=1.2->seaborn) (2026.1.post1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from pandas>=1.2->seaborn) (2025.3)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\arylic\\anaconda3\\envs\\space_med_python\\lib\\site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.4->seaborn) (1.17.0)\n",
      "Using cached seaborn-0.13.2-py3-none-any.whl (294 kB)\n",
      "Installing collected packages: seaborn\n",
      "Successfully installed seaborn-0.13.2\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "235afd5e-7806-49b2-88ca-488dff711a27",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extraction complete! 221 papers processed.\n",
      "File saved as: Appendix_Master_Metadata.csv\n",
      "\n",
      "Preview of Appendix Data:\n",
      "                                             Authors  \\\n",
      "0  Kurazumi, T; Ogawa, Y; Yanagida, R; Morisaki, ...   \n",
      "1        Shimoyama, R; Miyata, H; Ohama, E; Kawai, Y   \n",
      "2  Marshall-Goebel, K; Macias, Br; Laurie, Ss; Le...   \n",
      "\n",
      "                                               Title  \\\n",
      "0  Non-Invasive Intracranial Pressure Estimation ...   \n",
      "1  Does Edema Formation Occur In The Rabbit Brain...   \n",
      "2  Mechanical Countermeasures To Headward Fluid S...   \n",
      "\n",
      "                                    Journal  Year Document Type  \\\n",
      "0  Aerospace Medicine And Human Performance  2018       Article   \n",
      "1            Japanese Journal Of Physiology  2000       Article   \n",
      "2             Journal Of Applied Physiology  2021       Article   \n",
      "\n",
      "   Total Citations                              DOI  \\\n",
      "0               20           10.3357/AMHP.5015.2018   \n",
      "1                8         10.2170/jjphysiol.50.141   \n",
      "2               30  10.1152/japplphysiol.00863.2020   \n",
      "\n",
      "                                            Keywords  \n",
      "0  Cephalad Fluid Shift; Hypercapnia; Intracrania...  \n",
      "1  Brain Edema; Microgravity; Head-Down Tilt; Cap...  \n",
      "2  Impedance Threshold Device; Lower Body Negativ...  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# File path to your Web of Science export\n",
    "file_path = 'spacepaper.txt'\n",
    "\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "# Split the document into individual papers based on the End of Record (ER) tag\n",
    "papers = [p for p in content.split('\\nER') if p.strip()]\n",
    "\n",
    "# List to hold the extracted dictionaries\n",
    "master_data = []\n",
    "\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    \n",
    "    # Dictionary to hold the current paper's metadata\n",
    "    paper_data = {\n",
    "        'Authors': [],\n",
    "        'Title': '',\n",
    "        'Journal': '',\n",
    "        'Year': '',\n",
    "        'Document Type': '',\n",
    "        'Total Citations': 0,\n",
    "        'DOI': '',\n",
    "        'Keywords': []\n",
    "    }\n",
    "    \n",
    "    current_tag = \"\"\n",
    "    \n",
    "    for line in lines:\n",
    "        # Check for standard 2-letter WoS tags\n",
    "        if len(line) >= 3 and line[0:2].isalpha() and line[2] == ' ':\n",
    "            current_tag = line[0:2]\n",
    "            value = line[3:].strip()\n",
    "        # Handle multi-line continuations \n",
    "            value = line.strip()\n",
    "        else:\n",
    "            continue\n",
    "            \n",
    "        # Route the data to the correct field\n",
    "        if current_tag == 'AU':\n",
    "            paper_data['Authors'].append(value.title())\n",
    "        elif current_tag == 'TI':\n",
    "            paper_data['Title'] += \" \" + value if paper_data['Title'] else value\n",
    "        elif current_tag == 'SO':\n",
    "            paper_data['Journal'] = value.title()\n",
    "        elif current_tag == 'PY':\n",
    "            paper_data['Year'] = value\n",
    "        elif current_tag == 'DT':\n",
    "            paper_data['Document Type'] = value.title()\n",
    "        elif current_tag == 'TC':\n",
    "            try: paper_data['Total Citations'] = int(value)\n",
    "            except ValueError: pass\n",
    "        elif current_tag == 'DI':\n",
    "            paper_data['DOI'] = value\n",
    "        elif current_tag == 'DE': # Author Keywords\n",
    "            paper_data['Keywords'].append(value.title())\n",
    "            \n",
    "    # Clean up and format the data before appending\n",
    "    if paper_data['Title']:\n",
    "        paper_data['Title'] = paper_data['Title'].title()\n",
    "        \n",
    "        # Join lists into readable, semicolon-separated strings\n",
    "        paper_data['Authors'] = \"; \".join(paper_data['Authors'])\n",
    "        paper_data['Keywords'] = \"; \".join(paper_data['Keywords'])\n",
    "        \n",
    "        master_data.append(paper_data)\n",
    "\n",
    "# Convert to a pandas DataFrame\n",
    "df_appendix = pd.DataFrame(master_data)\n",
    "\n",
    "# Export to a clean CSV\n",
    "export_name = \"Appendix_Master_Metadata.csv\"\n",
    "df_appendix.to_csv(export_name, index=False)\n",
    "\n",
    "print(f\"Extraction complete! {len(df_appendix)} papers processed.\")\n",
    "print(f\"File saved as: {export_name}\")\n",
    "\n",
    "# Display a quick preview of the top 3 rows\n",
    "pd.set_option('display.max_columns', None)\n",
    "print(\"\\nPreview of Appendix Data:\")\n",
    "print(df_appendix.head(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "dc2c4e4c-cc81-4b47-917b-0b664e4becda",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original document count: 221\n",
      "Cleaned document count: 211\n",
      "Successfully removed 10 off-topic papers.\n",
      "\n",
      "Ready for submission! Cleaned appendix saved as: Appendix_Master_Metadata_Cleaned.csv\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 1. Load the original master metadata file\n",
    "file_path = 'Appendix_Master_Metadata.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "print(f\"Original document count: {len(df)}\")\n",
    "\n",
    "# 2. Define the exact titles of the 10 false-positive papers to exclude\n",
    "titles_to_exclude = [\n",
    "    \"Marked Olfactory Impairment In Idiopathic Intracranial Hypertension\",\n",
    "    \"Prediction Of Cerebrospinal Fluid (Csf) Pressure With Generative Adversarial Network Synthetic Plasma-Csf Biomarker Pairing\",\n",
    "    \"Dependency Of Intraocular Pressure On Body Posture In Glaucoma Patients New Approaches To Pathogenesis And Treatment\",\n",
    "    \"Biomechanical Homeostasis In Ocular Diseases: A Mini-Review\",\n",
    "    \"Novel Finding Of Optic Nerve Central T2 Hypointensity Utilizing 3 Tesla Mr Imaging\",\n",
    "    \"Metabolomics Profile Of The Secretome Of Space-Flown Oligodendrocytes\",\n",
    "    \"Effects Of Sex And Gender On Adaptation To Space: Cardiovascular Alterations\",\n",
    "    \"Managing Select Medical Emergencies During Long-Duration Space Missions\",\n",
    "    \"Dynamic Changes In Ocular And Retinal Function Across Acute Hypobaric Hypoxia\",\n",
    "    \"Space Motion Sickness: Incidence, Etiology, And Countermeasures\"\n",
    "]\n",
    "\n",
    "# Standardize text for perfect matching (lowercase and strip whitespace)\n",
    "exclude_lower = [title.strip().lower() for title in titles_to_exclude]\n",
    "\n",
    "# 3. Filter the dataframe to KEEP only papers that are NOT in the exclude list\n",
    "df_cleaned = df[~df['Title'].str.strip().str.lower().isin(exclude_lower)]\n",
    "\n",
    "print(f\"Cleaned document count: {len(df_cleaned)}\")\n",
    "print(f\"Successfully removed {len(df) - len(df_cleaned)} off-topic papers.\")\n",
    "\n",
    "# 4. Export the final, cleaned dataset\n",
    "export_name = \"Appendix_Master_Metadata_Cleaned.csv\"\n",
    "df_cleaned.to_csv(export_name, index=False)\n",
    "\n",
    "print(f\"\\nReady for submission! Cleaned appendix saved as: {export_name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "39c717b2-df5d-4ac2-b3df-7a05f69adeed",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original Count (Before final trim): 211\n",
      "Final Count after surgical removal: 195\n",
      "Total papers removed in this step: 16\n",
      "\n",
      "SUCCESS! Your definitive dataset is saved as: Appendix_Master_Metadata_FINAL.csv\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 1. Load the current cleaned data\n",
    "file_path = 'Appendix_Master_Metadata_Cleaned.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "print(f\"Original Count (Before final trim): {len(df)}\")\n",
    "\n",
    "# 2. The 1-based row indices of the 16 off-topic papers to DELETE\n",
    "# (These are the cardio, terrestrial exercise, cell biology, and general PR papers)\n",
    "bad_rows_1_based = [\n",
    "    26, 33, 35, 47, 55, 90, 95, 153, \n",
    "    169, 178, 192, 194, 197, 204, 208, 209\n",
    "]\n",
    "\n",
    "# Convert the 1-based indices (from your list) to 0-based Pandas indices\n",
    "bad_indices = [x - 1 for x in bad_rows_1_based]\n",
    "\n",
    "# 3. Drop these specific rows\n",
    "df_final = df.drop(index=bad_indices).reset_index(drop=True)\n",
    "\n",
    "# 4. Fix the two minor \"Document Type\" glitches we found earlier while we're at it\n",
    "# Row 125 and Row 164 had weird document types due to line breaks. \n",
    "# Since we just dropped rows, we'll fix them by matching their titles instead of row numbers.\n",
    "df_final.loc[df_final['Title'].str.contains(\"Beyond Intracranial Pressure\", na=False), 'Document Type'] = \"Article\"\n",
    "df_final.loc[df_final['Title'].str.contains(\"Are We Closer To Understanding\", na=False), 'Document Type'] = \"Article\"\n",
    "\n",
    "print(f\"Final Count after surgical removal: {len(df_final)}\")\n",
    "print(f\"Total papers removed in this step: {len(df) - len(df_final)}\")\n",
    "\n",
    "# 5. Export the ultimate master file\n",
    "export_name = \"Appendix_Master_Metadata_FINAL.csv\"\n",
    "df_final.to_csv(export_name, index=False)\n",
    "\n",
    "print(f\"\\nSUCCESS! Your definitive dataset is saved as: {export_name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f989bf23-bc4f-466a-9244-c240803a3b55",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting document count: 195\n",
      "Final document count after removal: 194\n",
      "\n",
      "SUCCESS! Your definitive, scrubbed dataset is saved as: Appendix_Master_Metadata_Final_Scrubbed.csv\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 1. Load the current dataset\n",
    "file_path = 'Appendix_Master_Metadata_FINAL.csv'\n",
    "df = pd.read_csv(file_path)\n",
    "\n",
    "print(f\"Starting document count: {len(df)}\")\n",
    "\n",
    "# 2. Target the exact title of the final off-topic paper\n",
    "bad_title = \"Review And Outlook Of Space Human Research Programs\"\n",
    "\n",
    "# 3. Filter the dataframe to keep everything EXCEPT that title\n",
    "df_scrubbed = df[df['Title'].str.strip() != bad_title].reset_index(drop=True)\n",
    "\n",
    "print(f\"Final document count after removal: {len(df_scrubbed)}\")\n",
    "\n",
    "# 4. Export the ultimate, perfectly scrubbed dataset\n",
    "export_name = \"Appendix_Master_Metadata_Final_Scrubbed.csv\"\n",
    "df_scrubbed.to_csv(export_name, index=False)\n",
    "\n",
    "print(f\"\\nSUCCESS! Your definitive, scrubbed dataset is saved as: {export_name}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "82e69a40-84f2-4daa-a00a-8c622dd71621",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true,
     "source_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Target number of papers to keep: 194\n",
      "Total papers in original raw file: 222\n",
      "SUCCESS! Papers kept in the new clean text file: 194\n",
      "File saved as: spacepaper_clean.txt\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# ==========================================\n",
    "# 1. LOAD THE VALIDATED TITLES FROM YOUR CSV\n",
    "# ==========================================\n",
    "df_valid = pd.read_csv('included_papers_table.csv')\n",
    "valid_titles = set(df_valid['Title'].str.strip().str.lower().fillna(''))\n",
    "\n",
    "print(f\"Target number of papers to keep: {len(valid_titles)}\")\n",
    "\n",
    "# ==========================================\n",
    "# 2. LOAD AND PARSE THE RAW WOS METADATA\n",
    "# ==========================================\n",
    "file_path = 'spacepaper.txt'\n",
    "with open(file_path, 'r', encoding='utf-8-sig') as f:\n",
    "    content = f.read()\n",
    "\n",
    "# Split the file into individual paper blocks\n",
    "papers = [p for p in content.split('\\nER') if p.strip()]\n",
    "print(f\"Total papers in original raw file: {len(papers)}\")\n",
    "\n",
    "clean_papers_content = \"\"\n",
    "kept_count = 0\n",
    "\n",
    "# ==========================================\n",
    "# 3. FILTER THE RAW DATA\n",
    "# ==========================================\n",
    "for paper in papers:\n",
    "    lines = paper.split('\\n')\n",
    "    title = \"\"\n",
    "    current_tag = \"\"\n",
    "    \n",
    "    # Extract the exact title from the raw WoS block\n",
    "    for line in lines:\n",
    "        if len(line) >= 3 and line[0:2].isalpha() and line[2] == ' ':\n",
    "            current_tag = line[0:2]\n",
    "            value = line[3:].strip()\n",
    "        elif line.startswith('   '): \n",
    "            value = line.strip()\n",
    "        else:\n",
    "            continue\n",
    "            \n",
    "        if current_tag == 'TI':\n",
    "            title += \" \" + value if title else value\n",
    "            \n",
    "    # Normalize the extracted title for perfect matching\n",
    "    title_normalized = title.strip().lower()\n",
    "    \n",
    "    # If the title is in our curated list, keep the entire raw text block!\n",
    "    if title_normalized in valid_titles:\n",
    "        clean_papers_content += paper + \"\\nER\"\n",
    "        kept_count += 1\n",
    "\n",
    "# ==========================================\n",
    "# 4. EXPORT THE CLEANED RAW FILE\n",
    "# ==========================================\n",
    "output_file = 'spacepaper_clean.txt'\n",
    "with open(output_file, 'w', encoding='utf-8') as f:\n",
    "    f.write(clean_papers_content)\n",
    "\n",
    "print(f\"SUCCESS! Papers kept in the new clean text file: {kept_count}\")\n",
    "print(f\"File saved as: {output_file}\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "47e51ae4-6805-481b-98ef-cdc68c2d553e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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