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Patent Citations to Science

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Zenodo2024-07-10 更新2026-05-25 收录
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https://zenodo.org/record/3338601
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资源简介:
This dataset contains citations from USPTO patents granted 1947-2018 to articles captured by the Microsoft Academic Graph (ID) from 1800-2018. The main file, <strong>pcs.tsv</strong>, contains the resolved citations. Fields are tab-separated. Each match has the patent number, MAG ID, the original citation from the patent, an indicator for whether the citation was supplied by the applicant, examiner, or unknown, and a confidence score (1-10) indicating how likely this match is correct. Note that this distribution does not contain matches with confidence 2 or 1. There is also a PubMed-specific match in <strong>pcs-pubmed.tsv</strong>. The remaining files are a redistribution of the 1 January 2019 release of the Microsoft Academic Graph. All of these files are compressed using ZIP compression under CentOS5. Original files, documented at https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema, can be downloaded from https://aka.ms/msracad; this redistribution carves up the original files into smaller, variable-specific files that can be loaded individually (see _<strong>reliance_on_science.pdf</strong> for full details, the latest version of which is available at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686). Source code for generating the patent citations to science in pcs.tsv is available at https://github.com/mattmarx/reliance_on_science. Source code for generating jif.zip and jcif.zip (Journal Impact Factor and Journal Commercial Impact Factor) is at https://github.com/mattmarx/jcif.
提供机构:
Zenodo
创建时间:
2019-07-16
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