NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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In-Text Patent Citations: A User's Guide

Kevin A. Bryan, Yasin Ozcan, Bhaven N. Sampat

NBER Working Paper No. 25742
Issued in April 2019
NBER Program(s):Productivity, Innovation, and Entrepreneurship Program

We introduce, validate, and provide a public database of a new measure of the knowledge inventors draw on: scientific references in patent specifications. These references are common and algorithmically extractable. Critically, they are very different from the “front page” prior art commonly used to proxy for inventor knowledge. Only 24% of front page citations to academic articles are in the patent text, and 31% of in-text citations are on the front page. We explain these differences by describing the legal rules and practice governing citation. Empirical validations suggest that in-text citations appear to more accurately measure real knowledge flows, consistent with their legal role.

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Document Object Identifier (DOI): 10.3386/w25742

 
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