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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A multiscale model suggests that a moderately weak inhibition of SARS-CoV-2 replication by type I IFN could accelerate the clearance of the virus
This article has 3 authors:Reviewed by ScreenIT
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Modelling the impact of travel restrictions on COVID-19 cases in Hong Kong in early 2020
This article has 9 authors:Reviewed by ScreenIT
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A Speedy Route to Multiple Highly Potent SARS-CoV-2 Main Protease Inhibitors
This article has 22 authors:Reviewed by ScreenIT
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Estimation of COVID-19 risk-stratified epidemiological parameters and policy implications for Los Angeles County through an integrated risk and stochastic epidemiological model
This article has 11 authors:Reviewed by ScreenIT
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