Eco-system mapping of techno-science linkages at the level of scholarly journals and fields

Xiaozan Lyu (), Ping Zhou () and Loet Leydesdorff
Additional contact information
Xiaozan Lyu: Zhejiang University
Ping Zhou: Zhejiang University

Scientometrics, 2020, vol. 124, issue 3, No 14, 2037-2055

Abstract: Abstract Patents relate the scientific, technological, and business dimensions of eco-systems. Based on the number of references to patents aggregated at the level of journals, we map two indicators of linkages between the sciences and technologies: patent intensity (PI) and patent density (PD). Journal maps can be overlaid with the values of PD and PI so that the portfolios can be visually identified and compared across fields. Patent citations are only systemic in Chemistry and Nano Science, but these linkages show declining trends. The continuity in terms of citing patents in successive years in these eco-systems are also significantly higher than in other fields. Patent citations are very specific in domains other than Chemistry and Nano Science. Patent citation in the Social Sciences, however, is above expectation.

Keywords: Techno-science linkages; Eco-system; References to patents; Journal maps (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-020-03435-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:124:y:2020:i:3:d:10.1007_s11192-020-03435-3

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-020-03435-3

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().