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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Transmission, infectivity, and neutralization of a spike L452R SARS-CoV-2 variant
This article has 46 authors:Reviewed by ScreenIT
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Commercialized kits to assess T-cell responses against SARS-CoV-2 S peptides. A pilot study in health care workers
This article has 11 authors:Reviewed by ScreenIT
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Perturbation of ACE2 Structural Ensembles by SARS-CoV-2 Spike Protein Binding
This article has 2 authors:Reviewed by ScreenIT
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Hospitalisation rates differed by city district and ethnicity during the first wave of COVID-19 in Amsterdam, The Netherlands
This article has 10 authors:Reviewed by ScreenIT
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Short-range exposure to airborne virus transmission and current guidelines
This article has 7 authors:Reviewed by ScreenIT
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A rigorous evaluation of optimal peptide targets for MS-based clinical diagnostics of Coronavirus Disease 2019 (COVID-19)
This article has 8 authors:Reviewed by ScreenIT
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Clinical Efficacy of Inhaled Nitric Oxide in Preventing the Progression of Moderate to Severe COVID-19 and Its Correlation to Viral Clearance: Results of a Pilot Study
This article has 16 authors:Reviewed by ScreenIT
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Mental Health of International Migrant Workers Amidst Large-Scale Dormitory Outbreaks of COVID-19: A Population Survey
This article has 5 authors:Reviewed by ScreenIT
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Rapidly Increasing Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence and Limited Clinical Disease in 3 Malian Communities: A Prospective Cohort Study
This article has 18 authors:Reviewed by ScreenIT
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Potent neutralizing nanobodies resist convergent circulating variants of SARS-CoV-2 by targeting diverse and conserved epitopes
This article has 14 authors:Reviewed by ScreenIT