Title: Exploring paper characteristics that facilitate the knowledge flow from science to technology
Authors: Ding, Cherng G.
Hung, Wen-Chi
Lee, Meng-Che
Wang, Hung-Jui
經營管理研究所
Institute of Business and Management
Keywords: Growth modeling;Paper characteristics;Patent-to-paper citation;Ranking factor;Research impact
Issue Date: Feb-2017
Abstract: In this study, we explore paper characteristics that facilitate the knowledge flow from science to technology by using the patent-to-paper citation data. The linear growth trajectory of the number of patent citations to a scientific paper over time is used to measure the dynamism of its utilization for technology applications. The citation data used were obtained from the USPTO database based on two 5-year citation windows, 2001-2005 and 2009-2013. The former included patent citations to the publications in the Thomson Reuters Web of Science in 1998, and the latter included those in 2006. Only the publications in the top ten most frequently cited subject categories in the Web of Science were selected. By using growth modeling, we have found that the mean slope of the trajectory is significant. Moreover, the paper citation count, the ranking factor of the journal in which the paper was published, whether the paper is an industrial publication, and whether it is a review article have been identified to exert significant effects on the growth of the citation of scientific literature by patented inventions. Some policy implications are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.joi.2016.12.004
http://hdl.handle.net/11536/133173
ISSN: 1751-1577
DOI: 10.1016/j.joi.2016.12.004
Journal: JOURNAL OF INFORMETRICS
Volume: 11
Issue: 1
Begin Page: 244
End Page: 256
Appears in Collections:Articles