Temporal characteristics of retracted articles - Research in progress

Judit Bar-Ilan, Gali Halevi

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

There are three main reasons for retraction: (1 ethical misconduct (e.g. duplicate publication, plagiarism, missing credit, no IRB, ownership issues, authorship issues, interference in the review process, citation manipulation); (2 scientific distortion (e.g. data manipulation, fraudulent data, unsupported conclusions, questionable data validity, non-replicability, data errors - even if unintended); 3) administrative error (e.g. article published in wrong issue, not the final version published, publisher errors). The first category, although highly deplorable has no effect on the advancement of science, the third category is relatively minor. The papers belonging to the second category are most troublesome from the scientific point of view, as they are misleading and have serious negative implications not only on science but also on society. In this paper, we explore some temporal characteristics of retracted articles, including time of publication, years to retract, growth of post retraction citations over time and social media attention by the three major categories. The data set comprises 995 retracted articles retrieved in October 2014 from Elsevier's ScienceDirect.

Original languageEnglish
Pages650-655
Number of pages6
StatePublished - 2017
Event16th International Conference on Scientometrics and Informetrics, ISSI 2017 - Wuhan, China
Duration: 16 Oct 201720 Oct 2017

Conference

Conference16th International Conference on Scientometrics and Informetrics, ISSI 2017
Country/TerritoryChina
CityWuhan
Period16/10/1720/10/17

Bibliographical note

Funding Information:
The first author was supported by EU COST Actions PEERE and KnowEscape.

Funding

The first author was supported by EU COST Actions PEERE and KnowEscape.

FundersFunder number
European Cooperation in Science and Technology

    Keywords

    • Altmetrics
    • Citation analysis
    • Scientific fraud and dishonesty

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