There is a newer version of this record available.

Dataset Open Access

Reliance on Science in Patenting

Marx, Matt; Aaron Fuegi

This dataset contains both front-page and in-text citations from patents to scientific articles through 2020.  If you use the data, please cite these two articles:

1. M. Marx, & A. Fuegi, "Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles" (2020), Strategic Management Journal 41(9):1572-1594. (https://onlinelibrary.wiley.com/doi/full/10.1002/smj.3145

2. M. Marx & A. Fuegi, "Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations." NBER Working Paper 27987.(https://www.nber.org/papers/w27987)

The datafile containing the citations is _pcs_mag_doi_pmid.tsv. DOIs and PMIDs provided where available. Each citation has the applicant/examiner flag, confidence score (1-10), and whether the reference was a) only on the front page, b) only in the body text, or c) in both. _data_description.pdf has full details. bodytextknowngood.tsv contains the known-good references for calculating recall. bodytextpatrefstopatents.tsv contains references to patents in the body text of patents.

The remaining files redistribute the Microsoft Academic Graph. Please also cite 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.

These data are under an Open Data Commons Attribution license (ODC-By); use them for anything as long as you cite us! Source code for front-page matches is at https://github.com/mattmarx/reliance_on_science and for in-text is at https://github.com/mattmarx/intextcitations. Questions & feedback to support@relianceonscience.org.

Files (39.9 GB)
Name Size
__datadescription.pdf
md5:869edb358e771120b87fb44ec9f1317a
227.5 kB Download
_pcs_mag_doi_pmid.tsv
md5:465ad920f49b905973f8e5e92356386b
2.9 GB Download
authoridname_normalized.zip
md5:9baea14de6e6ed5bad514dfb7b005d4b
2.9 GB Download
bodytextknowngood.tsv
md5:0d20284aadeb443ad48eac1d00ae503f
272.1 kB Download
conferenceidname.zip
md5:ea4aabd9bd31834f7ec333f0ff09bae3
82.5 kB Download
intlpatfamily.zip
md5:5bb26fd59a0f9b9e2a44a4a124d44b6c
1.0 GB Download
jcif.zip
md5:c2f351238565d2216136aeaacdf55914
5.2 MB Download
jif.zip
md5:7c66b0a4d51721179ce103ce9fdb35c9
8.1 MB Download
journalidnameissn.zip
md5:10caa9741ef18909a421e9d4b0ec7f9d
1.5 MB Download
magfield_oecd_wos_crosswalk.zip
md5:bbe297e3f6a71b79d3b754ab00c3eba0
2.2 GB Download
paperauthoridaffiliationname.zip
md5:9c554f94e8f40d3c790219d0a3eb31cc
5.4 GB Download
paperauthororder.zip
md5:7f0cd9e741d74eb71e36ba40ecdeb6b9
4.1 GB Download
papercitations.zip
md5:efe102008ad67d05bbab4f54af127e89
9.9 GB Download
paperconferenceid.zip
md5:aa8f5aed09f77ddfe0d92a6e9a174b88
519.2 MB Download
paperjournalid.zip
md5:fcdffdcaf89eafe8f0a8fdc76605cdae
920.6 MB Download
papertitle.zip
md5:827f82924c589774dacb6b4fc086aad7
8.1 GB Download
papervolisspages.zip
md5:c293eb5be22c57a4b0cf2ba910218245
1.3 GB Download
paperyear.zip
md5:26e196c99224556f27e941b80fdb5e70
710.7 MB Download
  • 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

24,540
38,965
views
downloads
All versions This version
Views 24,5401,189
Downloads 38,965832
Data volume 115.1 TB897.0 GB
Unique views 19,7931,103
Unique downloads 14,111555

Share

Cite as