January 31, 2020 Dataset Open Access

Marx, Matt; Aaron Fuegi

JSON-LD (schema.org) Export

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  "description": "<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>. (<a href=\"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686\">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686</a>).&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=\"http://aka.ms/msracad\">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=\"mailto:support@relianceonscience.org\">support@relianceonscience.org</a><em>.</em>&nbsp;</li>\n\t<li>Source code&nbsp;is available at&nbsp;<a href=\"https://github.com/mattmarx/reliance_on_science\">https://github.com/mattmarx/reliance_on_science</a>.</li>\n</ul>\n\n<p><em>All computation was performed on the Boston University Shared Computing Cluster.</em></p>", 
  "license": "https://opendatacommons.org/licenses/by/1.0/", 
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      "affiliation": "Boston University", 
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      "name": "Marx, Matt"
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      "affiliation": "Boston University", 
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      "name": "Aaron Fuegi"
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  "url": "https://zenodo.org/record/3680340", 
  "datePublished": "2020-01-31", 
  "version": "v22", 
  "keywords": [
    "innovation, patenting, science, citation"
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  "@type": "Dataset", 
  "name": "Reliance on Science in Patenting"
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