IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v56y2003i1d10.1023_a1021902724734.html

A scientometric study of the research performance of the Institute of Molecular and Cell Biology in Singapore

Author

Listed:
  • Chu Keong Lee

    (Nanyang Technological University)

Abstract

This paper describes results of a scientometric study of the Institute of Molecular and Cell Biology (IMCB). The purpose of the study is to evaluate the research performance of IMCB in the first ten years since its establishment. Research inputs and three research outputs - publications, graduate students, and patents filed, are examined. The findings indicate that in the ten years, IMCB produced 395 research papers, 33 book chapters, 24 conference papers, and 4 monographs, graduated 46 PhDs and 14 MScs, and filed 10 patents. In its quest to become world-class, IMCB researchers have been very selective in where they publish - 95.6% of the articles were published in ISI journals. The articles received an average of 25 to 35 citations per article, and the percentage of uncited articles is 11.6%. Four articles received more than 200 citations, and 18 received between 100 to 200 citations.

Suggested Citation

  • Chu Keong Lee, 2003. "A scientometric study of the research performance of the Institute of Molecular and Cell Biology in Singapore," Scientometrics, Springer;Akadémiai Kiadó, vol. 56(1), pages 95-110, January.
    • Handle: RePEc:spr:scient:v:56:y:2003:i:1:d:10.1023_a:1021902724734
    DOI: 10.1023/A:1021902724734
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1021902724734
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1023/A:1021902724734?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Per O. Seglen, 1992. "The skewness of science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(9), pages 628-638, October.
    2. Irvine, John & Martin, Ben R., 1984. "CERN: Past performance and future prospects : II. The scientific performance of the CERN accelerators," Research Policy, Elsevier, vol. 13(5), pages 247-284, October.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Alejandro Sáez-Martín & Antonio M. López-Hernandez & Carmen Caba-Perez, 2017. "Access to public information: a scientometric study of legal versus voluntary transparency in the public sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1697-1720, December.
    2. B. S. Kademani & Vijai Kumar & Ganesh Surwase & Anil Sagar & Lalit Mohan & Anil Kumar & C. R. Gaderao, 2007. "Research and citation impact of publications by the Chemistry Division at Bhabha Atomic Research Centre," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(1), pages 25-57, April.
    3. Perianes-Rodríguez, Antonio & Chinchilla-Rodríguez, Zaida & Vargas-Quesada, Benjamín & Olmeda Gómez, Carlos & Moya-Anegón, Félix, 2009. "Synthetic hybrid indicators based on scientific collaboration to quantify and evaluate individual research results," Journal of Informetrics, Elsevier, vol. 3(2), pages 91-101.
    4. Mee-Jean Kim, 2014. "A bibliometric analysis of publications by the School of Biological Sciences, Seoul National University, South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 999-1019, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pedro Albarrán & Juan A. Crespo & Ignacio Ortuño & Javier Ruiz-Castillo, 2011. "The skewness of science in 219 sub-fields and a number of aggregates," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 385-397, August.
    2. Péter Vinkler, 2011. "Application of the distribution of citations among publications in scientometric evaluations," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(10), pages 1963-1978, October.
    3. Pentti Riikonen & Mauno Vihinen, 2008. "National research contributions: A case study on Finnish biomedical research," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 207-222, November.
    4. Robert J. W. Tijssen & Martijn S. Visser & Thed N. van Leeuwen, 2002. "Benchmarking international scientific excellence: Are highly cited research papers an appropriate frame of reference?," Scientometrics, Springer;Akadémiai Kiadó, vol. 54(3), pages 381-397, July.
    5. repec:plo:pone00:0013327 is not listed on IDEAS
    6. Per O. Seglen & Dag W. Aksnes, 2000. "Scientific Productivity and Group Size: A Bibliometric Analysis of Norwegian Microbiological Research," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 125-143, August.
    7. Péter Vinkler, 2021. "Evaluation of publications by the part-set method," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2737-2757, April.
    8. Bornmann, Lutz & Schier, Hermann & Marx, Werner & Daniel, Hans-Dieter, 2012. "What factors determine citation counts of publications in chemistry besides their quality?," Journal of Informetrics, Elsevier, vol. 6(1), pages 11-18.
    9. Bornmann, Lutz & Mutz, Rüdiger & Daniel, Hans-Dieter, 2010. "The h index research output measurement: Two approaches to enhance its accuracy," Journal of Informetrics, Elsevier, vol. 4(3), pages 407-414.
    10. Javier Ruiz-Castillo, 2013. "The role of statistics in establishing the similarity of citation distributions in a static and a dynamic context," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 173-181, July.
    11. Bornmann, Lutz & Tekles, Alexander, 2021. "Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts," Journal of Informetrics, Elsevier, vol. 15(3).
    12. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    13. Fasolo, Barbara & Heard, Claire & Scopelliti, Irene, 2024. "Mitigating cognitive bias to improve organizational decisions: an integrative review, framework, and research agenda," LSE Research Online Documents on Economics 125404, London School of Economics and Political Science, LSE Library.
    14. Chris H. J. Hartgerink & Marino Van Zelst, 2018. "“As-You-Go” Instead of “After-the-Fact”: A Network Approach to Scholarly Communication and Evaluation," Publications, MDPI, vol. 6(2), pages 1-10, April.
    15. Péter Vinkler, 2019. "Core journals and elite subsets in scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 241-259, October.
    16. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    17. Alex Stewart, 2022. "Who shuns entrepreneurship journals? Why? And what should we do about it?," Small Business Economics, Springer, vol. 58(4), pages 2043-2060, April.
    18. Christoph Bartneck & Jun Hu, 2010. "The fruits of collaboration in a multidisciplinary field," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 41-52, October.
    19. Tomislav Korman & Tomislav Malvić & Vasyl Lozynskyi & Zlatko Briševac & Zoran Kovač & Lidia Hrnčević & Krešimir Pavlić, 2024. "Mining and Mineral Processing Journals in the WoS and Their Rankings When Merging SCIEx and ESCI Databases—Case Study Based on the JCR 2022 Data," Publications, MDPI, vol. 12(1), pages 1-13, January.
    20. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    21. Brito, Ricardo & Rodríguez-Navarro, Alonso, 2018. "Research assessment by percentile-based double rank analysis," Journal of Informetrics, Elsevier, vol. 12(1), pages 315-329.

    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:56:y:2003:i:1:d:10.1023_a:1021902724734. 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.

    If CitEc recognized a bibliographic 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.

    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.