Scientometric profile of Indian scientific output in life sciences with a focus on the contributions of women scientists
K. C. Garg () and
S. Kumar ()
Additional contact information
K. C. Garg: CSIR-National Institute of Science, Technology and Development Studies (CSIR-NISTADS)
S. Kumar: CSIR-National Institute of Science, Technology and Development Studies (CSIR-NISTADS)
Scientometrics, 2014, vol. 98, issue 3, No 12, 1783 pages
Abstract:
Abstracts An analysis of 9,957 papers published by Indian scientists and indexed by WoS in 12 sub-disciplines of life sciences during 2008–2009 indicates that academic institutions produced the highest number of papers. Of these, 340 (3.4 %) were contributed by female scientists exclusively and 4,671 (47 %) were written jointly by male and female scientists. Women scientists produced about 0.36 papers per author, while their male counter parts produced 0.50 papers per author. Significant number of women scientists was first author and about 23 % were corresponding authors in papers written jointly by both sexes. Women scientists emphasized on the sub-discipline of cell biology and reproductive biology and male scientists emphasized on the sub-discipline of zoology. Women scientists work in small teams and have very less international collaborative papers. Women scientists publish in low impact factor and domestic journals and also are cited less as compared to their male counter parts.
Keywords: Scientific productivity; Scientometrics; Gender studies; Women studies; India (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-013-1107-4 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:98:y:2014:i:3:d:10.1007_s11192-013-1107-4
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-013-1107-4
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 ().