Conference proceeding
Mapping the Field of Bioinformatics with a Content and Co-authorship Analysis
2012 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW), pp 774-781
01 Jan 2012
Abstract
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.
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Details
- Title
- Mapping the Field of Bioinformatics with a Content and Co-authorship Analysis
- Creators
- Min Song - Korea Advanced Institute of Science and TechnologyChristopher C. Yang - Drexel University, Information ScienceXuning Tang - Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA USAWook-Shin Han - Kyungpook Natl Univ, CE Dept, Daegu, South Korea
- Publication Details
- 2012 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW), pp 774-781
- Series
- IEEE International Conference on Bioinformatics and Biomedicine Workshop-BIBMW
- Publisher
- IEEE
- Number of pages
- 8
- Grant note
- 2012033242 / National Research Foundation of Korea (NRF) -the Korea government
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000320379600136
- Scopus ID
- 2-s2.0-84875593369
- Other Identifier
- 991019170118204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Mathematical & Computational Biology
- Medical Informatics