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Bibliometric study of bioinformatics literature

Author

Listed:
  • Swapan Kumar Patra

    (Indian Institute of Technology Delhi)

  • Saroj Mishra

    (Indian Institute of Technology Delhi)

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.

Suggested Citation

  • Swapan Kumar Patra & Saroj Mishra, 2006. "Bibliometric study of bioinformatics literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 67(3), pages 477-489, June.
    • Handle: RePEc:spr:scient:v:67:y:2006:i:3:d:10.1556_scient.67.2006.3.9
    DOI: 10.1556/Scient.67.2006.3.9
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    References listed on IDEAS

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    1. Ming‐yueh Tsay, 2004. "Literature growth, journal characteristics, and author productivity in subject indexing, 1977 to 2000," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 55(1), pages 64-73, January.
    2. Ming-Yueh Tsay & Shiow-Jen Jou & Sheau-Shin Ma, 2000. "A Bibliometric Study of Semiconductor Literature, 1978–1997," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 491-509, November.
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    Cited by:

    1. Wolfgang Glänzel & Frizo Janssens & Bart Thijs, 2009. "A comparative analysis of publication activity and citation impact based on the core literature in bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(1), pages 109-129, April.
    2. Marco Pautasso, 2012. "Publication Growth in Biological Sub-Fields: Patterns, Predictability and Sustainability," Sustainability, MDPI, vol. 4(12), pages 1-14, November.
    3. Jiancheng Guan & Xia Gao, 2008. "Comparison and evaluation of Chinese research performance in the field of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 357-379, May.
    4. 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.
    5. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.
    6. Homero Rodríguez-Insuasti & Néstor Montalván-Burbano & Otto Suárez-Rodríguez & Marcela Yonfá-Medranda & Katherine Parrales-Guerrero, 2022. "Creative Economy: A Worldwide Research in Business, Management and Accounting," Sustainability, MDPI, vol. 14(23), pages 1-27, November.
    7. Min Song & Su Yeon Kim, 2013. "Detecting the knowledge structure of bioinformatics by mining full-text collections," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 183-201, July.
    8. Gregorio González-Alcaide, 2021. "Bibliometric studies outside the information science and library science field: uncontainable or uncontrollable?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6837-6870, August.
    9. Ana León-Gómez & Jorge Alexander Mora Forero & Jose Manuel Santos-Jaén, 2023. "A Bibliometric Analysis of Sustainability Education in Tourism Universities," SAGE Open, , vol. 13(3), pages 21582440231, August.
    10. 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.
    11. Vincenzo Basile & Massimiliano Giacalone & Paolo Carmelo Cozzucoli, 2022. "The Impacts of Bibliometrics Measurement in the Scientific Community A Statistical Analysis of Multiple Case Studies," Review of European Studies, Canadian Center of Science and Education, vol. 14(3), pages 1-10, November.
    12. 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.
    13. Saxena, Raka & Pant, Devesh Kumar & Pant, Satish Chandra & Singh, Reeta, 2023. "Mapping the Global Research Landscape: Bibliometric Analysis of Agri-food Systems and Nutritional Security," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 0(Number 3), September.

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