DocumentCode :
3453714
Title :
Mapping the field of Bioinformatics with a content and co-authorship analysis
Author :
Min Song ; Yang, C.C. ; Xuning Tang ; Wook-Shin Han
Author_Institution :
Dept. of Libr. & Inf. Sci., Yonsei Univ., Seoul, South Korea
fYear :
2012
fDate :
4-7 Oct. 2012
Firstpage :
774
Lastpage :
781
Abstract :
Bioinformatics is a fast-growing interdisciplinary research field that applies advanced computational techniques to biological data. Bibliometrics analysis has recently been adopted to understand the knowledge structure of a research field by citation pattern. In this paper, we explore the knowledge structure of Bioinformatics from the perspective of a core open access Bioinformatics journal, BMC Bioinformatics with trend analysis, the content and co-authorship network similarity, and principal component analysis. The experimental results show that Bioinformatics is fast-growing, dynamic and diversified. The content analysis shows that there is an increasing overlap among Bioinformatics journals in terms of topics and more research groups participate in researching Bioinformatics according to the co-authorship network similarity.
Keywords :
bioinformatics; citation analysis; principal component analysis; BMC Bioinformatics; bibliometrics analysis; bioinformatics mapping; biological data; citation pattern; coauthorship analysis; coauthorship network similarity; content analysis; open access bioinformatics journal; principal component analysis; trend analysis; Bibliometrics; Bioinformatics; Collaboration; Conferences; Market research; Social network services; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-2746-6
Electronic_ISBN :
978-1-4673-2744-2
Type :
conf
DOI :
10.1109/BIBMW.2012.6470238
Filename :
6470238
Link To Document :
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