October 13, 2020 Dataset Open Access

Marx, Matt; Aaron Fuegi

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  "description": "<p>This dataset contains both front-page and in-text citations from patents to scientific articles. &nbsp;<em>If you use the data, please cite </em>these two articles:</p>\n\n<p><strong>1. M. Marx, &amp; A.&nbsp;Fuegi, &quot;Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles&quot; (2020),&nbsp;<em>Strategic Management Journal 41(9):1572-1594</em>. (</strong><a href=\"https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145\">https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145</a><strong>)&nbsp;</strong></p>\n\n<p><strong>2. M. Marx &amp; A. Fuegi, &quot;Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations.&quot; NBER Working Paper&nbsp;27987</strong>.(<a href=\"https://www.nber.org/papers/w27987\">https://www.nber.org/papers/w27987</a>)</p>\n\n<p>The datafile containing the citations is <strong>_pcs_mag_doi_pmid.tsv.&nbsp;</strong>DOIs and PMIDs provided where available. Each citation has the&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.&nbsp;<strong>_data_description.pdf</strong>&nbsp;has full details.&nbsp;<strong>bodytextknowngood.tsv</strong>&nbsp;contains the known-good references for calculating recall. <strong>bodytextpatrefstopatents.tsv</strong>&nbsp;contains references to patents in the body text of patents.</p>\n\n<p>The remaining files redistribute the&nbsp;<a href=\"http://aka.ms/msracad\">Microsoft Academic Graph</a>. Please also cite&nbsp;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<p>These data are under an&nbsp;Open Data Commons Attribution license (ODC-By);&nbsp;use them for anything&nbsp;as long as you cite us! Source code for front-page matches:&nbsp;<a href=\"https://github.com/mattmarx/reliance_on_science\">https://github.com/mattmarx/reliance_on_science</a>. Questions &amp; feedback to <a href=\"mailto:support@relianceonscience.org\">support@relianceonscience.org</a><em>.</em>&nbsp;</p>\n\n<p>&nbsp;</p>", 
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      "affiliation": "Boston University", 
      "@id": "https://orcid.org/0000-0002-6173-4142", 
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      "name": "Marx, Matt"
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      "affiliation": "Boston University", 
      "@type": "Person", 
      "name": "Aaron Fuegi"
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  "url": "https://zenodo.org/record/4235193", 
  "datePublished": "2020-10-13", 
  "version": "v29", 
  "keywords": [
    "innovation, patenting, science, citation"
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  "@id": "https://doi.org/10.5281/zenodo.4235193", 
  "@type": "Dataset", 
  "name": "Reliance on Science in Patenting"
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