2017
DOI: 10.1016/j.jclinepi.2017.06.002
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Scientific citations favor positive results: a systematic review and meta-analysis

Abstract: Similar to what we already know on publication bias, also citation bias can lead to an overrepresentation of positive results and unfounded beliefs.

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Cited by 135 publications
(123 citation statements)
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References 63 publications
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“…citation bias is present, with the most convincing evidence from the field of biomedical sciences [12]. A meta-analysis in our review showed that positive studies are approximately two times more likely to be cited than negative studies.…”
Section: What Is the Implication And What Should Change Now?mentioning
confidence: 56%
See 1 more Smart Citation
“…citation bias is present, with the most convincing evidence from the field of biomedical sciences [12]. A meta-analysis in our review showed that positive studies are approximately two times more likely to be cited than negative studies.…”
Section: What Is the Implication And What Should Change Now?mentioning
confidence: 56%
“…The occurrence of citation bias has been studied in a number of research areas. Recently, a systematic review and meta-analysis summarized the literature on citation bias [12]. Forty-six publications on citation bias were identified from different research areas and using different methods.…”
Section: Introductionmentioning
confidence: 99%
“…This possible lack of publication of null results is being discussed as a major source of bias in the published literature (e.g., Sterling ; Ioannidis ; MP Zeegers, CAPHRI School for Public Health and Primary Care, Maastricht University, The Netherlands, unpublished communication), and citation bias (e.g., Duyx et al ) is also likely to play a role, but there seems to be no easily applicable remedy. It is up to the scientist whether to attempt to publish inconclusive or negative data, but it is increasingly difficult to do so in peer‐reviewed journals (Calnan et al , cited in Song et al ).…”
Section: Discussionmentioning
confidence: 99%
“…It must therefore be expected that the chance of a valid experiment being published is affected by the outcome, specifically that null results are less likely to be published. Such publication bias may lead to incorrect conclusions and may impede scientific advance and is further exacerbated by a potential citation bias (e.g., Robins and Craik ; Case and Higgins ; Duyx et al ), that is, the tendency that “negative data” are less likely to be cited and distributed than those which appear to have found something new and exciting, even though the former might be scientifically as robust as the latter. However, there seems to be no easily applicable remedy.…”
Section: Discussionmentioning
confidence: 99%