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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Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies
This article has 9 authors:Reviewed by ScreenIT
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Pre-existing traits associated with Covid-19 illness severity
This article has 29 authors:Reviewed by ScreenIT
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COVID-19 severity correlates with airway epithelium–immune cell interactions identified by single-cell analysis
This article has 36 authors:Reviewed by ScreenIT
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COVIDier: A Deep-learning Tool For Coronaviruses Genome And Virulence Proteins Classification
This article has 5 authors:Reviewed by ScreenIT
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News from the front: Estimation of excess mortality and life expectancy in the major epicenters of the COVID-19 pandemic in Italy
This article has 4 authors:Reviewed by ScreenIT
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Associations between psychiatric disorders, COVID-19 testing probability and COVID-19 testing results: findings from a population-based study
This article has 7 authors:Reviewed by ScreenIT
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Alpha 1 Antitrypsin is an Inhibitor of the SARS-CoV-2–Priming Protease TMPRSS2
This article has 12 authors:Reviewed by ScreenIT
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Rapid development of COVID-19 rapid diagnostics for low resource settings: accelerating delivery through transparency, responsiveness, and open collaboration
This article has 43 authors:Reviewed by ScreenIT
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A Susceptible-Infected-Removed (SIR) model of COVID-19 epidemic trend in Malaysia under Movement Control Order (MCO) using a data fitting approach
This article has 4 authors:Reviewed by ScreenIT
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COVID-19, smoking and inequalities: a study of 53 002 adults in the UK
This article has 5 authors:Reviewed by ScreenIT