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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Post-Vaccination Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infections and Incidence of the Presumptive B.1.427/B.1.429 Variant Among Healthcare Personnel at a Northern California Academic Medical Center
This article has 12 authors:Reviewed by ScreenIT
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Neutralization of Variant Under Investigation B.1.617.1 With Sera of BBV152 Vaccinees
This article has 13 authors:Reviewed by ScreenIT
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N439K Variant in Spike Protein Alter the Infection Efficiency and Antigenicity of SARS-CoV-2 Based on Molecular Dynamics Simulation
This article has 13 authors:Reviewed by ScreenIT
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Modeling transmission dynamics and effectiveness of worker screening programs for SARS-CoV-2 in pork processing plants
This article has 5 authors:Reviewed by ScreenIT
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Stratified Random Sampling Methodology for Observing Community Mask Use within Indoor Settings: Results from Louisville, Kentucky during the COVID-19 Pandemic
This article has 18 authors:Reviewed by ScreenIT
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Ct Values Do Not Predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmissibility in College Students
This article has 22 authors:Reviewed by ScreenIT
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Predicting mammalian hosts in which novel coronaviruses can be generated
This article has 3 authors:Reviewed by ScreenIT
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A proteome-scale map of the SARS-CoV-2–human contactome
This article has 52 authors:Reviewed by ScreenIT
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Risk factor targeting for vaccine prioritization during the COVID-19 pandemic
This article has 9 authors:Reviewed by ScreenIT
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Characterising contact in disease outbreaks via a network model of spatial-temporal proximity
This article has 11 authors:Reviewed by ScreenIT