Retraction Watch (retractionwatch.com) is a platform and database that tracks retracted scientific papers. During the COVID-19 pandemic, it served as a tool to help researchers navigate and validate literature by identifying withdrawn or problematic studies.

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Alternative technologies and platforms have been utilized to help researchers navigate and validate literature during the COVID-19 pandemic. Examples include:

1. Science Rapid PREreview (outbreaksci.prereview.org)
2. Pubpeer journal club (pubpeer.com)
3. 27 active Twitter-Based Journal Clubs
4. Retraction Watch (retractionwatch.com), which tracks retracted papers. For instance, 30 papers about COVID-19 were retracted after being cited 1,410 times, at an estimated cost of US\$425,000 per article.

Alternative technologies to help fight against the COVID-19 pandemic

Johansson, M. A., & Saderi, D. (2020). Open peer-review platform for COVID-19 preprints. Nature, 579(7797), 29-29. https://doi.org/10.1038/d41586-020-00613-4

Open peer-review platform for COVID-19 preprints

Langham-Putrow, A., & Riegelman, A. (2019). Discovery and scholarly communication aspects of preprints: Sources for online information. College & Research Libraries News, 80(9), 506

Discovery and scholarly communication aspects of preprints.

Dinis-Oliveira, R. J. (2020). COVID-19 research: pandemic versus “paperdemic”, integrity, values and risks of the “speed science”. Forensic Sciences Research, 1-14.


COVID-19 research: pandemic versus “paperdemic”,
integrity, values and risks of the “speed science”


1. How it works
2. Problems of  Twitter-based Journal Clubs

Twitter-based Journal Clubs

Citation number of a paper is not reliable

Even after scientific papers are officially retracted, they often continue to be cited by other researchers, propagating potentially invalid findings. During the COVID-19 pandemic, platforms tracking retractions noted that 30 retracted papers were cited over 1,400 times, costing an estimated US\$425,000 per article. A specific instance of this phenomenon involves the paper "Modeling the viral dynamics of SARS-CoV-2 infection," which continued to circulate and be referenced despite its initial retraction in July 2020.

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