Bibliometric study of bioinformatics literature
Swapan Kumar Patra and
Saroj Mishra ()
Additional contact information
Swapan Kumar Patra: Indian Institute of Technology Delhi
Saroj Mishra: Indian Institute of Technology Delhi
Scientometrics, 2006, vol. 67, issue 3, No 9, 477-489
Abstract:
Abstract Bioinformatics is a multidisciplinary and comparatively new area of science that has made a significant impact within a short period. A systematic analysis of the rise in bioinformatics literature is, however, not available. This study analyses the growth of the scientific literature in this area as available from NCBI PubMed using standard bibliometric techniques. Bradford’s law of scattering was used to identify core journals and Lotka’s law employed to analyze author’s productivity pattern. Study also explored publication type, language and the country of publication. Twenty core journals were identified and the primary mode of dissemination of information was through journal articles. Authors with single publication were more predominant (73.58%) contrary to that predicted by Lotka’s law. The study provides useful information to scientists wishing to undertake work in this area.
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)
Downloads: (external link)
http://link.springer.com/10.1556/Scient.67.2006.3.9 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:67:y:2006:i:3:d:10.1556_scient.67.2006.3.9
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1556/Scient.67.2006.3.9
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 ().