The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Systematic recovery of building plumbing-associated microbial communities after extended periods of altered water demand during the COVID-19 pandemic
This article has 10 authors:Reviewed by ScreenIT
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Multisystemic inflammatory syndrome following COVID-19 mRNA vaccine in children: a national post-authorization pharmacovigilance study
This article has 24 authors:Reviewed by ScreenIT
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Nirmatrelvir, an orally active Mpro inhibitor, is a potent inhibitor of SARS-CoV-2 Variants of Concern
This article has 12 authors:Reviewed by ScreenIT
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Noncommunicable diseases risk factors and the risk of COVID-19 among university employees in Indonesia
This article has 5 authors:Reviewed by ScreenIT
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Structural basis for the in vitro efficacy of nirmatrelvir against SARS-CoV-2 variants
This article has 12 authors:Reviewed by ScreenIT
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ELF5 is a potential respiratory epithelial cell-specific risk gene for severe COVID-19
This article has 19 authors:Reviewed by ScreenIT
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Population-level implications of the Israeli booster campaign to curtail COVID-19 resurgence
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection in hamsters and humans results in lasting and unique systemic perturbations after recovery
This article has 22 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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COVID-19 Breakthrough Infection after Inactivated Vaccine Induced Robust Antibody Responses and Cross-Neutralization of SARS-CoV-2 Variants, but Less Immunity against Omicron
This article has 19 authors:Reviewed by ScreenIT
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Understanding evolution of COVID-19 driven mortality rate
This article has 5 authors:Reviewed by ScreenIT