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Oxytocin: A citation network analysis of 10 000 papers.

Authors :
Leng G
Leng RI
Source :
Journal of neuroendocrinology [J Neuroendocrinol] 2021 Nov; Vol. 33 (11), pp. e13014. Date of Electronic Publication: 2021 Jul 30.
Publication Year :
2021

Abstract

Our understanding of the oxytocin system has been built over the last 70 years by the work of hundreds of scientists, reported in thousands of papers. Here, we construct a map to that literature, using citation network analysis in conjunction with bibliometrics. The map identifies ten major 'clusters' of papers on oxytocin that differ in their particular research focus and that densely cite papers from the same cluster. We identify highly cited papers within each cluster and in each decade, not because citations are a good indicator of quality, but as a guide to recognising what questions were of wide interest at particular times. The clusters differ in their temporal profiles and bibliometric features; here, we attempt to understand the origins of these differences.<br /> (© 2021 The Authors. Journal of Neuroendocrinology published by John Wiley & Sons Ltd on behalf of British Society for Neuroendocrinology.)

Subjects

Subjects :
Bibliometrics
Oxytocin

Details

Language :
English
ISSN :
1365-2826
Volume :
33
Issue :
11
Database :
MEDLINE
Journal :
Journal of neuroendocrinology
Publication Type :
Academic Journal
Accession number :
34328668
Full Text :
https://doi.org/10.1111/jne.13014