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Dataset Open Access

Reliance on Science in Patenting

Marx, Matt; Aaron Fuegi

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<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Marx, Matt</dc:creator>
  <dc:creator>Aaron Fuegi</dc:creator>
  <dc:description>This dataset contains citations from worldwide patents to scientific articles.  If you use the data, please cite this paper: Marx, Matt and Aaron Fuegi, "Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles" Forthcoming in Strategic Management Journal. ( 

We link to the Microsoft Academic Graph (_pcs_mag_bodytextbeta.tsv), and PubMed (_pcs_pubmed_bodytextbeta.tsv). Each linkage has the patent #, MAG ID or PMID, 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. The file _data_description.pdf has full details.

The remaining files redistribute the Microsoft Academic Graph, carved up into smaller files for convenience. If you use them, please cite the following article: 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.

	PubMed linkages are publicly available. MAG linkages are under an Open Data Commons Attribution license (ODC-By), so you can use them for anything as long as you cite us.
	Questions &amp; feedback to 
	Source code is available at

All computation was performed on the Boston University Shared Computing Cluster.</dc:description>
  <dc:subject>innovation, patenting, science, citation</dc:subject>
  <dc:title>Reliance on Science in Patenting</dc:title>
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Downloads 39,97811,759
Data volume 116.3 TB51.7 TB
Unique views 21,0691,729
Unique downloads 14,8352,108


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