Retraction Watch: the tool every editorial board should use
Retraction Watch was founded in 2010 by Ivan Oransky and Adam Marcus. Today, the platform serves both as a source of information on research integrity and as a major database dedicated to scientific retractions.
For an editor-in-chief, Retraction Watch provides a simple way to check whether a publication cited in a manuscript has been retracted since it was first published. This verification can help prevent a journal from unknowingly publishing a reference that has since become problematic.
A global retraction database
Since its acquisition by Crossref in 2023, Retraction Watch has become an important infrastructure for tracking scientific retractions. Today, it lists more than 63,000 retractions across all disciplines.
In addition, the database is constantly updated. It is refreshed every working day using information from publishers’ websites and reports from the scientific community.
Each entry includes the reason for the retraction whenever that information is available. This makes it possible to quickly identify different causes, such as error, plagiarism, data falsification, or a publication linked to a “Paper Mill”.
This last category is particularly useful for editorial teams seeking to better understand the phenomenon of paper mills.
How can an editor-in-chief use Retraction Watch?
The Retraction Watch search interface allows users to combine several criteria. As a result, an editor-in-chief can use it both to check a specific reference and to identify broader trends.
Check a reference in just a few seconds
A DOI, article title, or author name may be enough to verify the status of a publication.
Therefore, when a reference plays an important role in a manuscript’s argument, the editorial team can quickly check whether it has been retracted. This verification is especially useful before the final acceptance of an article.
Identify trends rather than isolated cases
Retraction Watch also allows users to examine retractions according to different criteria, such as journal, publisher, country, or time period.
This broader view helps editorial teams identify patterns that would be difficult to detect by checking references one by one. For example, a series of retractions linked to “Paper Mills” may draw attention to a particular journal, collection, or publication period.
Automate checks through bibliographic integration
Verification does not necessarily have to remain entirely manual. Zotero, for example, can flag retracted publications stored in a reference library. This helps researchers and editorial teams identify references that require closer review more quickly.
However, an automated alert does not replace editorial judgment. A retracted publication may sometimes be cited legitimately, for example to analyse a controversy or document a case of scientific misconduct.
One important limitation
The database only includes retractions that have been made public by publishers themselves. It is therefore a necessary filter, but not an absolute guarantee of completeness. Some retractions may take several months before they are fully documented.
Why this verification should no longer be optional
Many retracted articles continue to be cited years after their withdrawal. In many cases, neither the authors nor the reviewers checked the status of the source at the time of submission. For an editorial board, every retracted reference that goes unnoticed can create a direct reputational risk. However, manually checking Retraction Watch remains unrealistic for bibliographies containing dozens of references.
This is where automated verification can make a real difference. By systematically cross-checking each reference against up-to-date databases, retraction screening becomes a standard part of the editorial workflow rather than an occasional manual task.
LibScience develops an automated bibliographic reference verification solution for scientific journals and publishers, including the detection of retracted articles, automatic DOI enrichment and contextual citation relevance checking. Discover LibScience