IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v57y2003i3d10.1023_a1025004701748.html
   My bibliography  Save this article

Assessing stem cell research productivity

Author

Listed:
  • Y. S. Ho

    (Taipei Medical University)

  • C. H. Chiu

    (Taipei Medical University - Wan-Fang Hospital)

  • T. M. Tseng

    (Taipei Medical University)

  • W. T. Chiu

    (Taipei Medical University - Wan-Fang Hospital)

Abstract

Honour Index (HoI), a method to evaluate research performance within different research fields, was derived from the impact factor (IF). It can be used to rate and compare different categories of journals. HoI was used in this study to determine the scientific productivity of stem cell research in the Asian Four Dragons (Hong Kong, Singapore, South Korea and Taiwan) from 1981 to 2001. The methodology applied in this study represents a synthesis of universal indicator studies and bibliometric analyses of subfields at the micro-level. We discuss several comparisons, and conclude the developmental trend in stem cell research for two decades.

Suggested Citation

  • Y. S. Ho & C. H. Chiu & T. M. Tseng & W. T. Chiu, 2003. "Assessing stem cell research productivity," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 369-376, July.
  • Handle: RePEc:spr:scient:v:57:y:2003:i:3:d:10.1023_a:1025004701748
    DOI: 10.1023/A:1025004701748
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1023/A:1025004701748
    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:1025004701748?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.

    References listed on IDEAS

    as
    1. Herman Van den Berghe & Josee A. Houben & Renger E. de Bruin & Henk F. Moed & André Kint & Marc Luwel & Eric H. J. Spruyt, 1998. "Bibliometric indicators of university research performance in Flanders," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(1), pages 59-67.
    2. A. Raan, 1999. "Advanced bibliometric methods for the evaluation of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 45(3), pages 417-423, July.
    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. Yang Cao & Sixing Zhou & Guobin Wang, 2013. "A bibliometric analysis of global laparoscopy research trends during 1997–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 717-730, September.
    2. Johannes W. Fedderke, 2012. "The Objectivity of National Research Foundation Peer Review Based Ratings in South Africa," Working Papers 300, Economic Research Southern Africa.
    3. Sara Barsanti & Silvia Giovanelli & Sabina Nuti, 2014. "Come valutare la ricerca nelle Aziende Ospedaliero-Universitarie? Metodi e proposte operative," MECOSAN, FrancoAngeli Editore, vol. 2014(90), pages 9-32.
    4. Ling-Li Li & Guohua Ding & Nan Feng & Ming-Huang Wang & Yuh-Shan Ho, 2009. "Global stem cell research trend: Bibliometric analysis as a tool for mapping of trends from 1991 to 2006," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 39-58, July.

    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. Hui-Zhen Fu & Yuh-Shan Ho, 2013. "Comparison of independent research of China’s top universities using bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 259-276, July.
    2. Franceschini, Fiorenzo & Maisano, Domenico, 2011. "Structured evaluation of the scientific output of academic research groups by recent h-based indicators," Journal of Informetrics, Elsevier, vol. 5(1), pages 64-74.
    3. Alona Zharova & Janine Tellinger-Rice & Wolfgang Karl Härdle, 2018. "How to measure the performance of a Collaborative Research Center," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1023-1040, November.
    4. Lluís Rovira & Pau Senra & David Jou, 2000. "Bibliometric Analysis of Physics in Catalonia: Towards Quality Consolidation?," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(2), pages 233-256, October.
    5. Lutz Bornmann & Robin Haunschild & Rüdiger Mutz, 2021. "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and new literature databases," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-15, December.
    6. Waleed M. Sweileh & Sa’ed H. Zyoud & Suleiman Al-Khalil & Samah W. Al-Jabi & Ansam F. Sawalha, 2014. "Assessing the Scientific Research Productivity of the Palestinian Higher Education Institutions," SAGE Open, , vol. 4(3), pages 21582440145, July.
    7. Ruimin Ma & Chaoqun Ni & Junping Qiu, 2008. "Scientific research competitiveness of world universities in computer science," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 245-260, August.
    8. repec:hum:wpaper:sfb649dp2018-001 is not listed on IDEAS
    9. Youliang Huang & Qian Huang & Sajid Ali & Xing Zhai & Xiaoming Bi & Renquan Liu, 2016. "Rehabilitation using virtual reality technology: a bibliometric analysis, 1996–2015," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1547-1559, December.
    10. Peter Ingwersen & Birger Larsen, 2014. "Influence of a performance indicator on Danish research production and citation impact 2000–12," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1325-1344, November.
    11. Maxim Kotsemir & Sergey Shashnov, 2017. "Measuring, analysis and visualization of research capacity of university at the level of departments and staff members," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1659-1689, September.
    12. Wang-Huu Hsieh & Wen-Ta Chiu & Yee-Shuan Lee & Yuh-Shan Ho, 2004. "Bibliometric analysis of Patent Ductus Arteriosus treatments," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 105-215, June.
    13. Xiaojun Hu, 2007. "Relative Superiority Coefficient of papers: A new dimension for institutional research performance in different fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 389-402, September.
    14. Alexander V. Sirotkin & Martina Pavlíková & Ľubomír Hlad & Roman Králik & Irina Zarnadze & Shalva Zarnadze & Lucia Petrikovičová, 2023. "Impact of COVID-19 on University Activities: Comparison of Experiences from Slovakia and Georgia," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    15. Cinzia Daraio & Giancarlo Ruocco, 2012. "An Empirical Approach to Compare the Performance of Heterogeneous Academic Fields," DIAG Technical Reports 2012-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    16. Noyons, E. C. M. & Luwel, M. & Moed, H. F., 1998. "Assessment of Flemish R&D in the field of information technology: A bibliometric evaluation based on publication and patent data, combined with OECD research input statistics," Research Policy, Elsevier, vol. 27(3), pages 285-300, July.
    17. Henk F. Moed, 2000. "Bibliometric Indicators Reflect Publication and Management Strategies," Scientometrics, Springer;Akadémiai Kiadó, vol. 47(2), pages 323-346, February.
    18. Koenraad Debackere & Wolfgang Glänzel, 2004. "Using a bibliometric approach to support research policy making: The case of the Flemish BOF-key," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 253-276, February.
    19. Giovanni Abramo & Ciriaco Andrea D’Angelo, 2011. "National-scale research performance assessment at the individual level," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 347-364, February.
    20. Carmen Galvez & Félix Moya-Anegón, 2007. "Standardizing formats of corporate source data," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 3-26, January.
    21. Jingda Ding & Junping Qiu, 2011. "An approach to improve the indicator weights of scientific and technological competitiveness evaluation of Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 285-297, 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:57:y:2003:i:3:d:10.1023_a:1025004701748. 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.