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

TY - JOUR

T1 - Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?

AU - Weissgerber, Tracey

AU - Riedel, Nico

AU - Kilicoglu, Halil

AU - Labbé, Cyril

AU - Eckmann, Peter

AU - ter Riet, Gerben

AU - Byrne, Jennifer

AU - Cabanac, Guillaume

AU - Capes-Davis, Amanda

AU - Favier, Bertrand

AU - Saladi, Shyam

AU - Grabitz, Peter

AU - Bannach-Brown, Alexandra

AU - Schulz, Robert

AU - McCann, Sarah

AU - Bernard, Rene

AU - Bandrowski, Anita

N1 - Funding Information: D.R.B. receives financial support from The National Institute of Allergy and Infectious Diseases, the Bill & Melinda Gates Foundation, Ragon Institute, The International AIDS Vaccine Initiative and the Pendleton Trust. Funding for E.J.T. was provided by the Clinical and Translational Science Award (CTSA grant UL1TR002550) from the National Center for Advancing Translational Sciences of the US National Institutes of Health. Funding Information: 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.

PY - 2021/1/1

Y1 - 2021/1/1

UR - http://www.scopus.com/inward/record.url?scp=85099409718&partnerID=8YFLogxK

U2 - https://doi.org/10.1038/s41591-020-01203-7

DO - https://doi.org/10.1038/s41591-020-01203-7

M3 - Comment/Letter to the editor

C2 - 33432174

SN - 1078-8956

VL - 27

SP - 6

EP - 7

JO - Nature medicine

JF - Nature medicine

IS - 1

ER -