IDEAS home Printed from https://ideas.repec.org/a/oup/rseval/v24y2015i1p19-29..html
   My bibliography  Save this article

The ‘translational’ effect in medical journals: Bridging the gap?

Author

Listed:
  • Marc Luwel
  • Erik van Wijk

Abstract

The objective of translational research is to harness knowledge from basic research to develop new drugs and treatments and better patient care. For already two decades it is a ‘hot’ topic in academia and in policy-making circles. However, few bibliometric studies have been carried out to make the characteristics of translational research visible. In this article, an analysis is presented of publications in journals, covering translational medical research and processed for the Web of Science. These publications do not have more references or citations to basic (biomedical) research than those in the other journals assigned to the same subject categories. Neither were significant differences observed between these two journal sets in the noun phrases used in the papers’ abstracts, except for the abundant use of the adjective ‘translational’ in papers published in medical journals with the adjective ‘translational’ in the journal title. However, the results published in these journals seem to be the results more of collaborative research between different types of organizations than the average paper in the corresponding subject category.

Suggested Citation

  • Marc Luwel & Erik van Wijk, 2015. "The ‘translational’ effect in medical journals: Bridging the gap?," Research Evaluation, Oxford University Press, vol. 24(1), pages 19-29.
  • Handle: RePEc:oup:rseval:v:24:y:2015:i:1:p:19-29.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/reseval/rvu031
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Lauto, Giancarlo & Valentin, Finn, 2016. "The knowledge production model of the New Sciences: The case of Translational Medicine," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 12-21.
    2. Hu, Xiaojun & Rousseau, Ronald, 2018. "A new approach to explore the knowledge transition path in the evolution of science & technology: From the biology of restriction enzymes to their application in biotechnology," Journal of Informetrics, Elsevier, vol. 12(3), pages 842-857.

    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:oup:rseval:v:24:y:2015:i:1:p:19-29.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/rev .

    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.