Patent citation data in social science research: Overview and best practices

The last 2 decades have witnessed a dramatic increase in the use of patent citation data in social science research. Facilitated by digitization of the patent data and increasing computing power, a community of practice has grown up that has developed methods for using these data to: measure attributes of innovations such as impact and originality; to trace flows of knowledge across individuals, institutions and regions; and to map innovation networks. The objective of this article is threefold. First, it takes stock of these main uses. Second, it discusses 4 pitfalls associated with patent citation data, related to office, time and technology, examiner, and strategic effects. Third, it highlights gaps in our understanding and offers directions for future research.


Published in:
Journal Of The Association For Information Science And Technology, 68, 6, 1360-1374
Year:
2017
Publisher:
Hoboken, Wiley
ISSN:
2330-1635
Laboratories:




 Record created 2017-07-10, last modified 2018-03-17


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)