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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Diagnostic performance and characteristics of anterior nasal collection for the SARS-CoV-2 antigen test: a prospective study
This article has 10 authors:Reviewed by ScreenIT
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Efficacy of universal masking for source control and personal protection from simulated cough and exhaled aerosols in a room
This article has 10 authors:Reviewed by ScreenIT
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Impairment of SARS-CoV-2 spike glycoprotein maturation and fusion activity by nitazoxanide: an effect independent of spike variants emergence
This article has 6 authors:Reviewed by ScreenIT
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Self-reported symptoms, self-reported viral testing result and seroprevalence of SARS CoV-2 among a community sample in Essex County New Jersey: A brief report
This article has 10 authors:Reviewed by ScreenIT
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A Repurposed Drug Screen Identifies Compounds That Inhibit the Binding of the COVID-19 Spike Protein to ACE2
This article has 6 authors:Reviewed by ScreenIT
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Transcriptome Analysis of Peripheral Blood Mononuclear Cells Reveals Distinct Immune Response in Asymptomatic and Re-Detectable Positive COVID-19 Patients
This article has 17 authors:Reviewed by ScreenIT
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The Rapid Assessment of Aggregated Wastewater Samples for Genomic Surveillance of SARS-CoV-2 on a City-Wide Scale
This article has 16 authors:Reviewed by ScreenIT
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A potently neutralizing SARS-CoV-2 antibody inhibits variants of concern by utilizing unique binding residues in a highly conserved epitope
This article has 25 authors:Reviewed by ScreenIT
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Factors associated with nonessential workplace attendance during the Covid-19 pandemic in the UK in early 2021
This article has 7 authors:Reviewed by ScreenIT
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Host–pathogen dynamics in longitudinal clinical specimens from patients with COVID-19
This article has 14 authors:Reviewed by ScreenIT