IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v117y2018i3d10.1007_s11192-018-2930-4.html
   My bibliography  Save this article

Comparison of medical research performance by thermodynamic and citation analysis methods

Author

Listed:
  • Rogheyeh Eskrootchi

    (Iran University of Medical Sciences)

  • Nadia Sanee

    () (Iran University of Medical Sciences)

Abstract

Abstract Beside citation metrics, in recent years, the thermodynamic indicators have been introduced. So, we want to compare citation metrics like h-index to thermodynamic indicators such as the exergy for determining the best indicator to rank the scientific agents effectively. This study is the bibliometric research and analyzes the scientific performance of the best countries, institutions, and universities in medical fields based on the citation metrics and the thermodynamic indicators upon extracted data from Scopus and Scimago databases. The Excel software version 2016 was used for analyzing the research performance of these medical agents and descriptive statistics were reported. Among countries, the United States had the best research performance based on the highest number of P, C, h, X. But, it had the lower impact than some countries like the United Kingdom and Italy. Iran is ranked 17th among the countries of the world in terms of studying indicators. About the world medical institutions, the National Institutes of Health Bethesda had the best research performance based on h and X, but the most qualitative institution was the American Cancer Society. Iranian medical universities compared to their world peers had the lower P, C, i, h, X. But Tehran University of Medical Sciences ranked first upon h and X. Mashhad University of Medical Sciences had the best quality of the scientific publication. Results showed that the exergy as the thermodynamic indicator and research performance metric can rank better the academic units based on the total number of papers and citations than the citation metrics such as h-index.

Suggested Citation

  • Rogheyeh Eskrootchi & Nadia Sanee, 2018. "Comparison of medical research performance by thermodynamic and citation analysis methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 2159-2168, December.
  • Handle: RePEc:spr:scient:v:117:y:2018:i:3:d:10.1007_s11192-018-2930-4
    DOI: 10.1007/s11192-018-2930-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-018-2930-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

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

    References listed on IDEAS

    as
    1. Gangan Prathap, 2011. "The Energy–Exergy–Entropy (or EEE) sequences in bibliometric assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 515-524, June.
    2. Gangan Prathap, 2014. "The zynergy-index and the formula for the h-index," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 426-427, February.
    3. P. Nishy & Yatish Panwar & Suresh Prasad & G. K. Mandal & Gangan Prathap, 2012. "An impact-citations-exergy (iCX) trajectory analysis of leading research institutions in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 245-251, April.
    4. Mike Thelwall & Paul Wilson, 2016. "Mendeley readership altmetrics for medical articles: An analysis of 45 fields," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(8), pages 1962-1972, August.
    5. Ying Ding & Guo Zhang & Tamy Chambers & Min Song & Xiaolong Wang & Chengxiang Zhai, 2014. "Content-based citation analysis: The next generation of citation analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(9), pages 1820-1833, September.
    6. Loet Leydesdorff, 2013. "An evaluation of impacts in “Nanoscience & nanotechnology”: steps towards standards for citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 35-55, January.
    7. Gangan Prathap, 2017. "A three-dimensional bibliometric evaluation of recent research in India," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1085-1097, March.
    8. Gangan Prathap, 2014. "Quantity, quality, and consistency as bibliometric indicators," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(1), pages 214-214, January.
    Full references (including those not matched with items on IDEAS)

    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:117:y:2018:i:3:d:10.1007_s11192-018-2930-4. See general information about how to correct material in RePEc.

    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). General contact details of provider: http://www.springer.com .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.