@article{722d14e5e668443aa37c97af6e048f73,
title = "Automated screening of COVID-19 preprints: can we help authors to improve transparency and reproducibility?",
keywords = "Novel coronavirus, COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Pandemic, 2019-nCoV",
author = "Tracey Weissgerber and Nico Riedel and Halil Kilicoglu and Cyril Labb{\'e} and Peter Eckmann and {Ter Riet}, Gerben and Jennifer Byrne and Guillaume Cabanac and Amanda Capes-Davis and Bertrand Favier and Shyam Saladi and Peter Grabitz and Alexandra Bannach-Brown and Robert Schulz and Sarah McCann and Rene Bernard and Anita Bandrowski",
note = "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.",
year = "2021",
month = jan,
doi = "10.1038/s41591-020-01203-7",
language = "English (US)",
volume = "27",
pages = "6--7",
journal = "Nature Medicine",
issn = "1078-8956",
publisher = "Nature Research",
number = "1",
}