Name File Type Size Last Modified
  pcs-extended 02/12/2019 08:56:AM
  selected-MAG-metadata-2018 02/05/2019 02:00:PM
pcs.zip application/zip 99.2 MB 02/11/2019 01:45:PM
reliance-on-science.pdf application/pdf 819.5 KB 02/13/2019 08:47:AM

Project Citation: 

Marx, Matt. Patent Citations to Science. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-02-13. https://doi.org/10.3886/E108362V8

Persistent URL:  http://doi.org/10.3886/E108362V8

Project Description

Summary:  View help for Summary These files contain citations from U.S. patents 1926-2018 to articles in the Microsoft Academic Graph from 1800-2018. Please cite

Marx, M. and A. Fuegi, "Reliance on Science in Patenting."

available in this distribution as reliance_on_science.pdf and also at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686.

These data make use of and redistribute portions of the Microsoft Academic Graph. Please see https://www.microsoft.com/en-us/research/project/academic/ for details about the Microsoft Academic Graph (MAG), which is provided under an ODC-BY license (https://opendatacommons.org/licenses/by/1-0/index.html). Academic papers making use of the MAG data should cite the following paper:

Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MA) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246.





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