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Dataset Open Access

Reliance on Science in Patenting

Marx, Matt; Aaron Fuegi

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3755799", 
  "language": "eng", 
  "title": "Reliance on Science in Patenting", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This dataset contains citations from worldwide&nbsp;patents to scientific articles. &nbsp;<em>If you use the data, please cite this paper</em><strong>: Marx, Matt and Aaron Fuegi, &quot;Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles&quot; Forthcoming in <em>Strategic Management Journal</em>. (</strong><a href=\"\"></a><strong>).&nbsp;</strong></p>\n\n<p>We link&nbsp;to the Microsoft Academic Graph (<strong>_pcs_mag_bodytextbeta.tsv</strong>), and PubMed (<strong>_pcs_pubmed_bodytextbeta.tsv</strong>). Each linkage has the patent #, MAG ID or PMID,&nbsp;applicant/examiner flag, confidence score&nbsp;(1-10), and&nbsp;whether the reference was a) only on the front page, b) only in the body text, or c) in both. The file&nbsp;<strong>_data_description.pdf</strong>&nbsp;has full details.</p>\n\n<p>The remaining files redistribute the&nbsp;<a href=\"\">Microsoft Academic Graph</a>, carved up into smaller files for convenience. If you use them, please cite the following article: Sinha, A, et al. 2015. Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW &rsquo;15 Companion). ACM, New York, NY, USA, 243-246.</p>\n\n<ul>\n\t<li>PubMed linkages are publicly available. MAG linkages are under an&nbsp;Open Data Commons Attribution license (ODC-By), so&nbsp;you can use them for anything&nbsp;as long as you cite us.</li>\n\t<li>Questions &amp; feedback to <a href=\"\"></a><em>.</em>&nbsp;</li>\n\t<li>Source code&nbsp;is available at&nbsp;<a href=\"\"></a>.</li>\n</ul>\n\n<p><em>All computation was performed on the Boston University Shared Computing Cluster.</em></p>", 
  "author": [
      "family": "Marx, Matt"
      "family": "Aaron Fuegi"
  "version": "v23", 
  "type": "dataset", 
  "id": "3755799"
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