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Retractions can remove flawed research from citable literature but cannot offset the negative impact those publications have on science advances and public trust. This study analyzed the peer-review comments (from Clarivate Analytics) for a sample of retracted publications (from Retraction Watch) to investigate how the peer-review process effectively detects the areas where the retraction causes lie and whether reviewer characteristics are related to the effectiveness. We found that a small proportion of peer reviews suggested rejections during the peer review stage, while about half suggested acceptance or minor revision for those later retracted papers. The peer-review process was more effective in identifying retraction causes related to data, methods, and results than those related to text plagiarism and references. Additionally, factors such as the level of match between reviewers’ expertise and the submission were significant in determining the possibility of peer reviews identifying suspicious areas in submissions.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |