TY - JOUR
T1 - Knowledge transfer from technology to science
T2 - The longevity of paper-to-patent citations
AU - Hsiao, Tzu Kun
AU - Torvik, Vetle I.
N1 - Funding Information:
Research reported in this publication was supported by National Institutes of Health (Award Number P01AG039347). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. According to USPTO, the length of the digits in a U.S. patent is six to eight (e.g. US 420179 and US 4544555). Because the N in Log2(N) could not be zero, Age i + 1 was set to cope with the condition of time‐lag being zero. − 1; − 1) Year = 2 coefficient Month = 12 × (2 coefficient
PY - 2019/1
Y1 - 2019/1
N2 - Citations between papers and patents reflect transfer of knowledge between science and technology. Patents commonly cite papers but papers rarely cite patents. Here, we identified 6,033 paper-to-patent citations in a collection of 1.5 million PubMed Central open access articles. These citing papers and cited patents contained 132,536 paper-to-paper, 200,339 patent-to-patent, and 36,342 patent-to-paper citations. These four citation datasets were used to model the temporal patterns of knowledge transfer within and across patents and papers. We found that the cited patents are generally much older than the cited papers, regardless of whether they are cited by papers or patents. Discipline, affiliation type, and self-citation also affect the age of the cited papers and patents. The recency of the citations partly explains the asymmetry in citations between papers and patents.
AB - Citations between papers and patents reflect transfer of knowledge between science and technology. Patents commonly cite papers but papers rarely cite patents. Here, we identified 6,033 paper-to-patent citations in a collection of 1.5 million PubMed Central open access articles. These citing papers and cited patents contained 132,536 paper-to-paper, 200,339 patent-to-patent, and 36,342 patent-to-paper citations. These four citation datasets were used to model the temporal patterns of knowledge transfer within and across patents and papers. We found that the cited patents are generally much older than the cited papers, regardless of whether they are cited by papers or patents. Discipline, affiliation type, and self-citation also affect the age of the cited papers and patents. The recency of the citations partly explains the asymmetry in citations between papers and patents.
KW - Citation Analysis
KW - Knowledge Transfer
KW - Time-Lag
UR - http://www.scopus.com/inward/record.url?scp=85075928039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075928039&partnerID=8YFLogxK
U2 - 10.1002/pra2.41
DO - 10.1002/pra2.41
M3 - Article
AN - SCOPUS:85075928039
VL - 56
SP - 417
EP - 421
JO - Proceedings of the Association for Information Science and Technology
JF - Proceedings of the Association for Information Science and Technology
SN - 2373-9231
IS - 1
ER -