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Patent Citations to Science
Principal Investigator(s): View help for Principal Investigator(s) Matt Marx, Boston University
Version: View help for Version V13
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| selected-MAG-metadata-2018 | 06/01/2019 03:32:PM | ||
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application/zip | 944.8 MB | 06/01/2019 11:19:AM |
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application/pdf | 677.8 KB | 05/29/2019 11:23:AM |
Project Citation:
Marx, Matt. Patent Citations to Science. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-06-01. https://doi.org/10.3886/E108362V13
Project Description
Summary:
View help for Summary
These files contain citations from U.S. patents 1947-2018 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.
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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