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Reversing the byline hierarchy: The effect of equalizing bias on the accreditation of primary, secondary and senior authors

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  • Hagen, Nils T.

Abstract

Equalizing bias (EqB) is a systematic inaccuracy which arises when authorship credit is divided equally among coauthors who have not contributed equally. As the number of coauthors increases, the diminishing amount of credit allocated to each additional coauthor is increasingly composed of equalizing bias such that when the total number of coauthors exceeds 12, the credit score of most coauthors is composed mostly of EqB. In general, EqB reverses the byline hierarchy and skews bibliometric assessments by underestimating the contribution of primary authors, i.e. those adversely affected by negative EqB, and overestimating the contribution of secondary authors, those benefitting from positive EqB. The positive and negative effects of EqB are balanced and sum to zero, but are not symmetrical. The lack of symmetry exacerbates the relative effects of EqB, and explains why primary authors are increasingly outnumbered by secondary authors as the number of coauthors increases. Specifically, for a paper with 50 coauthors, the benefit of positive EqB goes to 39 secondary authors while the burden of negative EqB befalls 11 primary authors. Relative to harmonic estimates of their actual contribution, the EqB of the 50 coauthors ranged from <−90% to >350%. Senior authorship, when it occurs, is conventionally indicated by a corresponding last author and recognized as being on a par with a first author. If senior authorship is not recognized, then the credit lost by an unrecognized senior author is distributed among the other coauthors as part of their EqB. The powerful distortional effect of EqB is compounded in bibliometric indices and performance rankings derived from biased equal credit. Equalizing bias must therefore be corrected at the source by ensuring accurate accreditation of all coauthors prior to the calculation of aggregate publication metrics.

Suggested Citation

  • Hagen, Nils T., 2014. "Reversing the byline hierarchy: The effect of equalizing bias on the accreditation of primary, secondary and senior authors," Journal of Informetrics, Elsevier, vol. 8(3), pages 618-627.
  • Handle: RePEc:eee:infome:v:8:y:2014:i:3:p:618-627
    DOI: 10.1016/j.joi.2014.05.003
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    References listed on IDEAS

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    1. Hagen, Nils T., 2014. "Counting and comparing publication output with and without equalizing and inflationary bias," Journal of Informetrics, Elsevier, vol. 8(2), pages 310-317.
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    8. Waltman, Ludo, 2012. "An empirical analysis of the use of alphabetical authorship in scientific publishing," Journal of Informetrics, Elsevier, vol. 6(4), pages 700-711.
    9. Pauline Mattsson & Carl Johan Sundberg & Patrice Laget, 2011. "Is correspondence reflected in the author position? A bibliometric study of the relation between corresponding author and byline position," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 99-105, April.
    10. 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.
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    Cited by:

    1. Moustafa, Khaled, 2018. "Don't fall in common science pitfall!," FrenXiv ycjha, Center for Open Science.
    2. Hagen, Nils T., 2015. "Contributory inequality alters assessment of academic output gap between comparable countries," Journal of Informetrics, Elsevier, vol. 9(3), pages 629-641.
    3. Siluo Yang & Dietmar Wolfram & Feifei Wang, 2017. "The relationship between the author byline and contribution lists: a comparison of three general medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1273-1296, March.
    4. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
    5. Edson Melo Souza & Jose Eduardo Storopoli & Wonder Alexandre Luz Alves, 2022. "Scientific Contribution List Categories Investigation: a comparison between three mainstream medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2249-2276, May.
    6. 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.
    7. Pär Sundling, 2023. "Author contributions and allocation of authorship credit: testing the validity of different counting methods in the field of chemical biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2737-2762, May.

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