IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v69y2006i2d10.1007_s11192-006-0152-7.html
   My bibliography  Save this article

A bibliometric analysis of productivity patterns of biomedical authors of Nigeria during 1967-2002

Author

Listed:
  • Williams Nwagwu

    (Africa Regional Centre for Information Science (ARCIS), University of Ibadan)

Abstract

Summary Bibliographic data on biomedical literature of Nigeria drawn from articles listed in Medline covering the period 1967-2002, and numbering 6820 were analysed to study the pattern of productivity of various author categories using Lotka's law. The total of 2184 authors who wrote the papers was divided into four different files, namely all authors, first authors, non-collaborative authors and co-authors. We hypothesized that the productivity patterns of each of the categories of authors differed from Lotka's inverse power law. The results showed that only the co-author category differed from the inverse power version of the law, while the other categories did not, although they yielded various exponents.

Suggested Citation

  • Williams Nwagwu, 2006. "A bibliometric analysis of productivity patterns of biomedical authors of Nigeria during 1967-2002," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(2), pages 259-269, November.
    • Handle: RePEc:spr:scient:v:69:y:2006:i:2:d:10.1007_s11192-006-0152-7
    DOI: 10.1007/s11192-006-0152-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-006-0152-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-006-0152-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dongping Shi & Xun Liu & Liwen He, 2023. "A Review on Mine Fire Prevention Technology and Theory Based on Bibliometric Analysis," Sustainability, MDPI, vol. 15(24), pages 1-21, December.
    2. Feng Zhou & Huai-Cheng Guo & Yuh-Shan Ho & Chao-Zhong Wu, 2007. "Scientometric analysis of geostatistics using multivariate methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(3), pages 265-279, December.
    3. Aristoklis D. Anastasiadis & Marcelo P. Albuquerque & Marcio P. Albuquerque & Diogo B. Mussi, 2010. "Tsallis q-exponential describes the distribution of scientific citations—a new characterization of the impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 205-218, April.
    4. Radhamany Sooryamoorthy, 2018. "The production of science in Africa: an analysis of publications in the science disciplines, 2000–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 317-349, April.
    5. Celiktas, Melih Soner & Sevgili, Tarkan & Kocar, Gunnur, 2009. "A snapshot of renewable energy research in Turkey," Renewable Energy, Elsevier, vol. 34(6), pages 1479-1486.
    6. Kurubaran Ganasegeran & Alan Swee Hock Ch’ng & Mohd Fadzly Amar Jamil & Irene Looi, 2020. "Clinicians’ Publication Output: Self-Report Survey and Bibliometric Analysis," Publications, MDPI, vol. 8(1), pages 1-18, March.
    7. Rebecca Long & Aleta Crawford & Michael White & Kimberly Davis, 2009. "Determinants of faculty research productivity in information systems: An empirical analysis of the impact of academic origin and academic affiliation," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 231-260, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:69:y:2006:i:2:d:10.1007_s11192-006-0152-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.