ScreenIT
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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Antibody Level Predicts the Clinical Course of Breakthrough Infection of COVID-19 Caused by Delta and Omicron Variants: A Prospective Cross-Sectional Study
This article has 12 authors:Reviewed by ScreenIT
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Blood group O is associated with post-COVID-19 syndrome in outpatients with a low comorbidity index
This article has 13 authors:Reviewed by ScreenIT
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Polymorphism in IFNAR contributes to glucocorticoid response and outcome in ARDS and COVID-19
This article has 8 authors:Reviewed by ScreenIT
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Evidence for SARS-CoV-2 Delta and Omicron co-infections and recombination
This article has 30 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Bebtelovimab, alone or together with bamlanivimab and etesevimab, as a broadly neutralizing monoclonal antibody treatment for mild to moderate, ambulatory COVID-19
This article has 22 authors:Reviewed by ScreenIT
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Long-COVID in children and adolescents: a systematic review and meta-analyses
This article has 8 authors:Reviewed by ScreenIT
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The changing impact of vaccines in the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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Identification and quantification of bioactive compounds suppressing SARS-CoV-2 signals in wastewater-based epidemiology surveillance
This article has 31 authors:Reviewed by ScreenIT
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Duration of vaccine effectiveness against SARS-CoV-2 infection, hospitalisation, and death in residents and staff of long-term care facilities in England (VIVALDI): a prospective cohort study
This article has 14 authors:Reviewed by ScreenIT
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Serum neutralization of SARS-CoV-2 Omicron sublineages BA.1 and BA.2 in patients receiving monoclonal antibodies
This article has 27 authors:Reviewed by ScreenIT