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Allegation of scientific misconduct increases Twitter attention

Author

Listed:
  • Lutz Bornmann

    (Administrative Headquarters of the Max Planck Society)

  • Robin Haunschild

    (Max Planck Institute for Solid State Research)

Abstract

The web-based microblogging platform Twitter is a very popular altmetrics source for measuring the broader impact of science. In this case study, we demonstrate how problematic the use of Twitter data for research evaluation can be, even though the aspiration of measurement is degraded from impact to attention measurement. We collected the Twitter data for the paper published by Yamamizu et al. (Stem Cell Rep 8(3):634–647, 2017. doi: https://doi.org/10.1016/j.stemcr.2017.01.023 ). An investigative committee found that the main figures in the paper are fraudulent.

Suggested Citation

  • Lutz Bornmann & Robin Haunschild, 2018. "Allegation of scientific misconduct increases Twitter attention," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1097-1100, May.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2698-6
    DOI: 10.1007/s11192-018-2698-6
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    References listed on IDEAS

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    1. Xin Shuai & Jason Rollins & Isabelle Moulinier & Tonya Custis & Mathilda Edmunds & Frank Schilder, 2017. "A Multidimensional Investigation of the Effects of Publication Retraction on Scholarly Impact," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2225-2236, September.
    2. Pooladian, Aida & Borrego, Ángel, 2016. "A longitudinal study of the bookmarking of library and information science literature in Mendeley," Journal of Informetrics, Elsevier, vol. 10(4), pages 1135-1142.
    3. Amalia Mas-Bleda & Mike Thelwall, 2016. "Can alternative indicators overcome language biases in citation counts? A comparison of Spanish and UK research," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2007-2030, December.
    4. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    5. Ehsan Mohammadi & Mike Thelwall & Kayvan Kousha, 2016. "Can Mendeley bookmarks reflect readership? A survey of user motivations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1198-1209, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Anwar Said & Timothy D. Bowman & Rabeeh Ayaz Abbasi & Naif Radi Aljohani & Saeed-Ul Hassan & Raheel Nawaz, 2019. "Mining network-level properties of Twitter altmetrics data," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 217-235, July.
    2. Sergio Copiello, 2020. "Other than detecting impact in advance, alternative metrics could act as early warning signs of retractions: tentative findings of a study into the papers retracted by PLoS ONE," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2449-2469, December.
    3. Robin Haunschild & Lutz Bornmann, 2021. "Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5181-5199, June.
    4. Thomy Tonia & Herman Van Oyen & Anke Berger & Christian Schindler & Nino Künzli, 2020. "If I tweet will you cite later? Follow-up on the effect of social media exposure on article downloads and citations," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(9), pages 1797-1802, December.

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