A newer version of this project is available. See below for other available versions.
Patent Citations to Science
Principal Investigator(s): View help for Principal Investigator(s) Matt Marx, Boston University
Version: View help for Version V10
| Name | File Type | Size | Last Modified |
|---|---|---|---|
| pcs-extended | 02/12/2019 08:56:AM | ||
| selected-MAG-metadata-2018 | 02/14/2019 05:39:PM | ||
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application/zip | 104.4 MB | 02/13/2019 06:36:PM |
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application/pdf | 820.5 KB | 02/14/2019 12:51:PM |
Project Citation:
Project Description
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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