Dataset Open Access

Reliance on Science in Patenting

Marx, Matt; Aaron Fuegi


MARC21 XML Export

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    <subfield code="a">&lt;p&gt;This dataset contains both front-page and in-text citations from patents to scientific articles through 2020. &amp;nbsp;&lt;em&gt;If you use the data, please cite &lt;/em&gt;these two articles:&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;1. M. Marx, &amp;amp; A.&amp;nbsp;Fuegi, &amp;quot;Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles&amp;quot; (2020),&amp;nbsp;&lt;em&gt;Strategic Management Journal 41(9):1572-1594&lt;/em&gt;. (&lt;/strong&gt;&lt;a href="https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145"&gt;https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145&lt;/a&gt;&lt;strong&gt;)&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;2. M. Marx &amp;amp; A. Fuegi, &amp;quot;Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations.&amp;quot; &lt;/strong&gt;&amp;nbsp;&lt;em&gt;forthcoming in Journal of Economics and Management Strategy.&amp;nbsp;&lt;/em&gt;(&lt;a href="http://doi.org/10.1111/jems.12455"&gt;http://doi.org/10.1111/jems.12455&lt;/a&gt;)&lt;/p&gt;

&lt;p&gt;The datafile containing the citations is &lt;strong&gt;_pcs_mag_doi_pmid.tsv.&amp;nbsp;&lt;/strong&gt;DOIs and PMIDs provided where available. Each citation has the&amp;nbsp;applicant/examiner flag, confidence score&amp;nbsp;(1-10), and&amp;nbsp;whether the reference was a) only on the front page, b) only in the body text, or c) in both.&amp;nbsp;&lt;strong&gt;_data_description.pdf&lt;/strong&gt;&amp;nbsp;has full details.&amp;nbsp;&lt;strong&gt;bodytextknowngood.tsv&lt;/strong&gt;&amp;nbsp;contains the known-good references for calculating recall.&lt;/p&gt;

&lt;p&gt;The remaining files redistribute the&amp;nbsp;&lt;a href="http://aka.ms/msracad"&gt;Microsoft Academic Graph&lt;/a&gt;. Please also cite&amp;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 &amp;rsquo;15 Companion). ACM, New York, NY, USA, 243-246.&lt;/p&gt;

&lt;p&gt;These data are under an&amp;nbsp;Open Data Commons Attribution license (ODC-By);&amp;nbsp;use them for anything&amp;nbsp;as long as you cite us! Source code for front-page matches is at&amp;nbsp;https://github.com/mattmarx/reliance_on_science&amp;nbsp;and for in-text is at https://github.com/mattmarx/intextcitations. Questions &amp;amp; feedback to &lt;a href="mailto:support@relianceonscience.org"&gt;support@relianceonscience.org&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;&lt;em&gt;This work is sponsored by the Alfred P. Sloan Foundation grant #G-2021-16822.&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;</subfield>
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