IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v7y2013i1p198-208.html
   My bibliography  Save this article

The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences

Author

Listed:
  • Abramo, Giovanni
  • D’Angelo, Ciriaco Andrea
  • Rosati, Francesco

Abstract

Accurate measurement of research productivity should take account of both the number of co-authors of every scientific work and of the different contributions of the individuals. For researchers in the life sciences, common practice is to indicate such contributions through position in the authors list. In this work, we measure the distortion introduced to bibliometric ranking lists for scientific productivity when the number of co-authors or their position in the list is ignored. The field of observation consists of all Italian university professors working in the life sciences, with scientific production examined over the period 2004–2008. The outcomes of the study lead to a recommendation against using indicators or evaluation methods that ignore the different authors’ contributions to the research results.

Suggested Citation

  • Abramo, Giovanni & D’Angelo, Ciriaco Andrea & Rosati, Francesco, 2013. "The importance of accounting for the number of co-authors and their order when assessing research performance at the individual level in the life sciences," Journal of Informetrics, Elsevier, vol. 7(1), pages 198-208.
  • Handle: RePEc:eee:infome:v:7:y:2013:i:1:p:198-208
    DOI: 10.1016/j.joi.2012.11.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157712000934
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2012.11.003?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. Giovanni Abramo & Ciriaco Andrea D'Angelo & Flavia Di Costa, 2008. "Assessment of sectoral aggregation distortion in research productivity measurements," Research Evaluation, Oxford University Press, vol. 17(2), pages 111-121, June.
    2. Schreiber, Michael, 2010. "How to modify the g-index for multi-authored manuscripts," Journal of Informetrics, Elsevier, vol. 4(1), pages 42-54.
    3. Michael Schreiber, 2009. "A case study of the modified Hirsch index hm accounting for multiple coauthors," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1274-1282, June.
    4. Vinkler, Péter, 2012. "The case of scientometricians with the “absolute relative” impact indicator," Journal of Informetrics, Elsevier, vol. 6(2), pages 254-264.
    5. Pablo D. Batista & Mônica G. Campiteli & Osame Kinouchi, 2006. "Is it possible to compare researchers with different scientific interests?," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(1), pages 179-189, July.
    6. William F. Laurance, 2006. "Second thoughts on who goes where in author lists," Nature, Nature, vol. 442(7098), pages 26-26, July.
    7. I. Lukovits & P. Vinkler, 1995. "Correct credit distribution: A model for sharing credit among coauthors," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 36(1), pages 91-98, September.
    8. Leo Egghe, 2006. "Theory and practise of the g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 69(1), pages 131-152, October.
    9. Justus V. Verhagen & Karin J. Wallace & Stephan C. Collins & Thomas R. Scott, 2003. "QUAD system offers fair shares to all authors," Nature, Nature, vol. 426(6967), pages 602-602, December.
    10. He, Bing & Ding, Ying & Yan, Erjia, 2012. "Mining patterns of author orders in scientific publications," Journal of Informetrics, Elsevier, vol. 6(3), pages 359-367.
    11. Frank J. Trueba & Héctor Guerrero, 2004. "A robust formula to credit authors for their publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(2), pages 181-204, June.
    12. Lundberg, Jonas, 2007. "Lifting the crown—citation z-score," Journal of Informetrics, Elsevier, vol. 1(2), pages 145-154.
    13. Opthof, Tobias & Leydesdorff, Loet, 2010. "Caveats for the journal and field normalizations in the CWTS (“Leiden”) evaluations of research performance," Journal of Informetrics, Elsevier, vol. 4(3), pages 423-430.
    14. G. Van Hooydonk, 1997. "Fractional counting of multiauthored publications: Consequences for the impact of authors," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(10), pages 944-945, October.
    Full references (including those not matched with items on IDEAS)

    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. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    2. Giovanni Abramo & Ciriaco Andrea D’Angelo & Francesco Rosati, 2013. "Measuring institutional research productivity for the life sciences: the importance of accounting for the order of authors in the byline," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 779-795, December.
    3. Liu, Xuan Zhen & Fang, Hui, 2012. "Modifying h-index by allocating credit of multi-authored papers whose author names rank based on contribution," Journal of Informetrics, Elsevier, vol. 6(4), pages 557-565.
    4. Serge Galam, 2011. "Tailor based allocations for multiple authorship: a fractional gh-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 365-379, October.
    5. Kim, Jinseok & Kim, Jinmo, 2015. "Rethinking the comparison of coauthorship credit allocation schemes," Journal of Informetrics, Elsevier, vol. 9(3), pages 667-673.
    6. Jinseok Kim & Jana Diesner, 2014. "A network-based approach to coauthorship credit allocation," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 587-602, October.
    7. Abramo, Giovanni & D’Angelo, Ciriaco Andrea, 2016. "A farewell to the MNCS and like size-independent indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 646-651.
    8. Elizabeth S. Vieira & José A. N. F. Gomes, 2011. "An impact indicator for researchers," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 607-629, November.
    9. Yannick Berker, 2018. "Golden-ratio as a substitute to geometric and harmonic counting to determine multi-author publication credit," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 839-857, March.
    10. N. Assimakis & M. Adam, 2010. "A new author’s productivity index: p-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(2), pages 415-427, November.
    11. Yves Fassin, 2020. "The HF-rating as a universal complement to the h-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 965-990, November.
    12. Fenghua Wang & Ying Fan & An Zeng & Zengru Di, 2019. "A nonlinear collective credit allocation in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1655-1668, June.
    13. Xuan Zhen Liu & Hui Fang, 2012. "Fairly sharing the credit of multi-authored papers and its application in the modification of h-index and g-index," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 37-49, April.
    14. Kaur, Jasleen & Radicchi, Filippo & Menczer, Filippo, 2013. "Universality of scholarly impact metrics," Journal of Informetrics, Elsevier, vol. 7(4), pages 924-932.
    15. Rahman, Mohammad Tariqur & Regenstein, Joe Mac & Kassim, Noor Lide Abu & Haque, Nazmul, 2017. "The need to quantify authors’ relative intellectual contributions in a multi-author paper," Journal of Informetrics, Elsevier, vol. 11(1), pages 275-281.
    16. Kuan, Chung-Huei & Huang, Mu-Hsuan & Chen, Dar-Zen, 2013. "Cross-field evaluation of publications of research institutes using their contributions to the fields’ MVPs determined by h-index," Journal of Informetrics, Elsevier, vol. 7(2), pages 455-468.
    17. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    18. Bornmann, Lutz & Mutz, Rüdiger & Hug, Sven E. & Daniel, Hans-Dieter, 2011. "A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants," Journal of Informetrics, Elsevier, vol. 5(3), pages 346-359.
    19. Abramo, Giovanni & Cicero, Tindaro & D’Angelo, Ciriaco Andrea, 2013. "The impact of unproductive and top researchers on overall university research performance," Journal of Informetrics, Elsevier, vol. 7(1), pages 166-175.
    20. Christoph Steinbrüchel, 2019. "A citation index for principal investigators," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(1), pages 305-320, January.

    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:eee:infome:v:7:y:2013:i:1:p:198-208. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    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.