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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Depression during the COVID-19 pandemic amongst residents of homeless shelters in France
This article has 10 authors:Reviewed by ScreenIT
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Targeting the endolysosomal host-SARS-CoV-2 interface by clinically licensed functional inhibitors of acid sphingomyelinase (FIASMA) including the antidepressant fluoxetine
This article has 8 authors:Reviewed by ScreenIT
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New Pathways of Mutational Change in SARS-CoV-2 Proteomes Involve Regions of Intrinsic Disorder Important for Virus Replication and Release
This article has 7 authors:Reviewed by ScreenIT
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Using rapid (point-of-care) tests for COVID-19: A decision analysis comparing the expected benefit of two screening strategies
This article has 3 authors:Reviewed by ScreenIT
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Identification of potential key genes for SARS-CoV-2 infected human bronchial organoids based on bioinformatics analysis
This article has 2 authors:Reviewed by ScreenIT
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Regional Characteristics of the Second Wave of SARS-CoV-2 Infections and COVID-19 Deaths in Germany
This article has 3 authors:Reviewed by ScreenIT
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Longitudinal and Long-Term Wastewater Surveillance for COVID-19: Infection Dynamics and Zoning of Urban Community
This article has 8 authors:Reviewed by ScreenIT
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Cannabidiol Inhibits SARS-CoV-2 Replication and Promotes the Host Innate Immune Response
This article has 21 authors:Reviewed by ScreenIT
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Safety and immunogenicity of a Recombinant Stabilized Prefusion SARS-CoV-2 Spike Protein Vaccine (MVC COV1901) Adjuvanted with CpG 1018 and Aluminum Hydroxide in healthy adults: A Phase 1, dose-escalation study
This article has 12 authors:Reviewed by ScreenIT
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A randomized double-blind placebo-controlled clinical trial of nitazoxanide for treatment of mild or moderate COVID-19
This article has 5 authors:Reviewed by ScreenIT