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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Optimizing SARS-CoV-2 vaccination strategies in France: Results from a stochastic agent-based model
This article has 9 authors:Reviewed by ScreenIT
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Global Assessment of the Relationship between Government Response Measures and COVID-19 Deaths
This article has 9 authors:Reviewed by ScreenIT
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New targets for drug design: importance of nsp14/nsp10 complex formation for the 3’‐5’ exoribonucleolytic activity on SARS‐CoV‐2
This article has 10 authors:Reviewed by ScreenIT
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Prone Positioning of Nonintubated Patients With Coronavirus Disease 2019—A Systematic Review and Meta-Analysis
This article has 13 authors:Reviewed by ScreenIT
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The Status and Risk Factors of COVID-19 Related Suicides in Bangladesh
This article has 2 authors:Reviewed by ScreenIT
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An intestinal cell type in zebrafish is the nexus for the SARS-CoV-2 receptor and the Renin-Angiotensin-Aldosterone System that contributes to COVID-19 comorbidities
This article has 3 authors:Reviewed by ScreenIT
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Monitoring the propagation of COVID-19-pandemic first waves
This article has 1 author:Reviewed by ScreenIT
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Repurposing the Ebola and Marburg Virus Inhibitors Tilorone, Quinacrine, and Pyronaridine: In Vitro Activity against SARS-CoV-2 and Potential Mechanisms
This article has 25 authors:Reviewed by ScreenIT
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Changes in the humoral immunity response in SARS-CoV-2 convalescent patients over 8 months
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany
This article has 13 authors:Reviewed by ScreenIT