Published December 7, 2019
| Version v20
Dataset
Open
Reliance on Science in Patenting
Description
This contains citations from the front pages of worldwide patents to articles in he Microsoft Academic Graph (MAG) from 1800-2018. Questions & feedback to support@relianceonscience.org. If you use the data, please cite these two papers:
- for the dataset of citations: 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).
- for the articles: Sinha, A, et al. 2015. 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.
The files below are described in _datadescription.pdf but here is a brief summary:
- _pcs.tsv, contains the patent citations to science. Fields are tab-separated. Each citation to science has the patent number, MAG ID, applicant/examiner indicator, and a confidence score (1-10).
- _pcs_pubmed.tsv, is a PubMed-specific match currently limited to USPTO patents.
- _pcs_bodytextbeta.tsv is a preliminary release also containing citations from the body text of USPTO patents since 1836. This 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. There are also some extensions including journal impact factor and high-level technical classifications.
Source code is available at https://github.com/mattmarx/reliance_on_science.
Files
__datadescription.pdf
Files
(42.4 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:04eb9c793014f96d78a1a755239610a8
|
343.2 kB | Preview Download |
|
md5:12afea9b677e5f2a0d882504610a82eb
|
621.4 MB | Download |
|
md5:fab932b4551a9b97b842d9b67e9b1d10
|
1.1 GB | Download |
|
md5:29e6eb461cfc146eb2c50c0576bba38f
|
174.9 MB | Download |
|
md5:0917e7304059b52619782aa4a5f1f24a
|
2.8 GB | Preview Download |
|
md5:9e35a6df4f3f6b0fe525eed10afae3d3
|
3.0 GB | Preview Download |
|
md5:f8501b603ac284a7c168d72a1511ad36
|
78.9 kB | Preview Download |
|
md5:a68b721d656a7be3ca6efb677d0a39b0
|
4.2 MB | Preview Download |
|
md5:c2f351238565d2216136aeaacdf55914
|
5.2 MB | Preview Download |
|
md5:7c66b0a4d51721179ce103ce9fdb35c9
|
8.1 MB | Preview Download |
|
md5:4fb35d70897e46a5b3f1ac9a723c095a
|
1.3 MB | Preview Download |
|
md5:bbe297e3f6a71b79d3b754ab00c3eba0
|
2.2 GB | Preview Download |
|
md5:3d7dbb590fa0f834a938e3897b71f4f5
|
4.3 GB | Preview Download |
|
md5:9705a0dc6d517b2336ecc148ba591982
|
3.5 GB | Preview Download |
|
md5:84c293aba31f57bbb85d2e6d5f65dfce
|
7.8 GB | Preview Download |
|
md5:cfde2972be81f7db051edc37e903ac91
|
448.7 MB | Preview Download |
|
md5:ae6a01a43054910834667f6763c4b13e
|
1.3 GB | Preview Download |
|
md5:78e5e3e144a42e8b22bc1f85c2b8ed3e
|
5.7 GB | Preview Download |
|
md5:d9a425c7c183d3a12762d0bf1ced17f2
|
807.1 MB | Preview Download |
|
md5:95c371e6e21169c13e1c5b3e6b7b8aab
|
6.9 GB | Preview Download |
|
md5:43535c579a791b6f07d11b1c3c381c4f
|
1.1 GB | Preview Download |
|
md5:d0067ff44ce5aee7db1be8e51398f950
|
620.2 MB | Preview Download |
Additional details
References
- Marx, Matt and Aaron Fuegi, "Reliance on Science in Patenting: USPTO Front-Page Citations to Scientific Articles" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686)
- 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