Knowledge transfer from technology to science: The longevity of paper-to-patent citations

Tzu Kun Hsiao; Vetle I. Torvik

doi:10.1002/pra2.41

Knowledge transfer from technology to science: The longevity of paper-to-patent citations

Tzu Kun Hsiao, Vetle I. Torvik

School of Information Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	417-421
Number of pages	5
Journal	Proceedings of the Association for Information Science and Technology
Volume	56
Issue number	1
DOIs	https://doi.org/10.1002/pra2.41
State	Published - Jan 2019

Keywords

Citation Analysis
Knowledge Transfer
Time-Lag

ASJC Scopus subject areas

Computer Science(all)
Library and Information Sciences

Online availability

10.1002/pra2.41

Library availability

Discover UIUC Full Text

Cite this

@article{7574a97a63d9468892ab7f9373edca20,

title = "Knowledge transfer from technology to science: The longevity of paper-to-patent citations",

abstract = "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.",

keywords = "Citation Analysis, Knowledge Transfer, Time-Lag",

author = "Hsiao, {Tzu Kun} and Torvik, {Vetle I.}",

note = "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 Publisher Copyright: Author(s) retain copyright, but ASIS&T receives an exclusive publication license",

year = "2019",

month = jan,

doi = "10.1002/pra2.41",

language = "English (US)",

volume = "56",

pages = "417--421",

journal = "Proceedings of the Association for Information Science and Technology",

issn = "2373-9231",

publisher = "John Wiley & Sons, Ltd.",

number = "1",

}

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 Publisher Copyright: Author(s) retain copyright, but ASIS&T receives an exclusive publication license

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

SN - 2373-9231

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

IS - 1

ER -

Knowledge transfer from technology to science: The longevity of paper-to-patent citations

Abstract

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this