Allegation of scientific misconduct increases Twitter attention
Lutz Bornmann () and
Robin Haunschild ()
Additional contact information
Robin Haunschild: Max Planck Institute for Solid State Research
Scientometrics, 2018, vol. 115, issue 2, No 24, 1097-1100
Abstract:
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.
Keywords: Twitter; Altmetrics; Scientific misconduct (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-2698-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2698-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-018-2698-6
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().