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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Repurposed Antiviral Drugs for Covid-19 — Interim WHO Solidarity Trial Results
This article has 1 author:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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SARS-CoV-2 Protein in Wastewater Mirrors COVID-19 Prevalence
This article has 14 authors:Reviewed by ScreenIT
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What Does the Public Want to Know About The COVID-19 Pandemic? A Systematic Analysis of Questions Asked in The Internet
This article has 5 authors:Reviewed by ScreenIT
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Epigenetic Clocks Are Not Accelerated in COVID-19 Patients
This article has 13 authors:Reviewed by ScreenIT
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A simplified cell-based assay to identify coronavirus 3CL protease inhibitors
This article has 15 authors:Reviewed by ScreenIT
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Moderators of changes in smoking, drinking and quitting behaviour associated with the first COVID‐19 lockdown in England
This article has 5 authors:Reviewed by ScreenIT
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The role of masks in reducing the risk of new waves of COVID-19 in low transmission settings: a modeling study
This article has 8 authors:Reviewed by ScreenIT
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The Experience of 2 Independent Schools With In‐Person Learning During the COVID ‐19 Pandemic
This article has 5 authors:Reviewed by ScreenIT
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Time trends in infectious and chronic disease consultations in Dakar, Senegal: Impact of Covid-19 Sanitary Measures
This article has 10 authors:Reviewed by ScreenIT
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Modeling the Post-Containment Elimination of Transmission of COVID-19
This article has 8 authors:Reviewed by ScreenIT