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A bibliometric study of bioinformatics research in South Africa

Author

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  • Mohohlo Molatudi

    (University of Pretoria)

  • Neo Molotja

    (Human Sciences Research Council)

  • Anastassios Pouris

    (University of Pretoria)

Abstract

This paper reports on the practises of bioinformatics research in South Africa using bibliometric techniques. The search strategy was designed to cover the common concepts in biological data organisation, retrieval and analysis; the development and application of tools and methodologies in biological computation; and related subjects in genomics and structural bioinformatics. The South African literature in bioinformatics has grown by 66.5% between 2001 and 2006. However, its share of world production is not on par with comparator countries, Brazil, India and Australia.

Suggested Citation

  • Mohohlo Molatudi & Neo Molotja & Anastassios Pouris, 2009. "A bibliometric study of bioinformatics research in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 47-59, October.
    • Handle: RePEc:spr:scient:v:81:y:2009:i:1:d:10.1007_s11192-007-2048-6
    DOI: 10.1007/s11192-007-2048-6
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    References listed on IDEAS

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    Cited by:

    1. Dragan Ivanović & Dušan Surla & Miloš Racković, 2011. "A CERIF data model extension for evaluation and quantitative expression of scientific research results," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 155-172, January.
    2. Ai-Yuan Liu & Shi-Ying Li & Yu-Qing Guo, 2014. "Characteristics of research on bioinformatics in China assessed with Science Citation Index Expanded," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 371-391, May.
    3. Min Song & Go Eun Heo & Su Yeon Kim, 2014. "Analyzing topic evolution in bioinformatics: investigation of dynamics of the field with conference data in DBLP," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 397-428, October.

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