Reliance on Science in Patenting

This dataset contains citations from the front pages of worldwide patents to articles captured by the Microsoft Academic Graph (MAG) from 1800-2018. <strong>If you use the data, please cite these two papers:</strong> <strong><em>for the dataset of citations: </em>Marx, Matt and Aaron Fuegi, "Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686). </strong> <strong><em>for the underlying dataset of papers</em> Sinha, Arnab, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW ’15 Companion). ACM, New York, NY, USA, 243-246.</strong> See <strong>_datadescription.pdf</strong> for full details on the files, but in brief: _<strong>pcs.tsv</strong>, contains the resolved citations. Fields are tab-separated. Each match has the patent number, MAG ID, an indicator for whether the citation was supplied by the applicant, examiner, or unknown, and a confidence score (3-10). Non-USPTO patents start with a 2-letter country abbreviation followed by a hyphen. <strong>_pcs-pubmed.tsv</strong>, is a PubMed-specific match currently limited to USPTO patents. <strong>_pcs_bodytextbeta.tsv</strong> is a <em>preliminary</em> release also containing citations from the body text of USPTO patents since 1836. This file adds a field indicating whether the citation appeared on the front page, in the body text, or in both. The remaining files redistribute the 1/1/2019 release of the Microsoft Academic Graph, carving up the original files into smaller, variable-specific files. MAG extracts field keywords for each paper (paperfieldid.zip and fieldidname.zip) --more than 200,000 fields in all! When looking to study industries or technical areas you might find this a bit overwhelming. We mapped the MAG subjects to six OECD fields and 39 subfields, defined here: http://www.oecd.org/science/inno/38235147.pdf. Clarivate provides a crosswalk between the OECD classifications and Web of Science fields, so we include WoS fields as well. This file is <strong>magfield_oecd_wos_crosswalk.zip</strong>. Source code is available at https://github.com/mattmarx/reliance_on_science.