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Published January 2021 | public
Journal Article

Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?


The COVID-19 pandemic has thrust preprints into the spotlight, attracting attention from the media and the public, as well as from scientists. Preprints are articles not yet published in a peer-reviewed journal, and as such they offer a unique opportunity to improve reporting. The Automated Screening Working Group (https://scicrunch.org/ASWG/about/COVIDPreprint) aims to provide rapid feedback that may help authors of COVID-19 preprints to improve their transparency and reproducibility.

Additional Information

© 2021 Nature Publishing Group. Published 11 January 2021. SciScore was funded by the US National Institutes of Health (OD024432, DA039832, DK097771, MH119094, and HHSN276201700124P). The development and application of Seek & Blastn is supported by grants from the US Office of Research Integrity, grant ID ORIIR180038-01-00 (J.A.B., C.L.), and from the National Health and Medical Research Council of Australia, Ideas grant ID APP1184263 (J.A.B., C.L., A.C.D.). Development of Limitation-Recognizer was partially supported by the intramural research program of the NIH and National Library of Medicine. Competing interests: A.B. is a cofounder of SciCrunch Inc.

Additional details

August 22, 2023
October 23, 2023