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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The effectiveness of the three-tier system of local restrictions for control of COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Effect of Inactivation Methods on SARS-CoV-2 Virion Protein and Structure
This article has 11 authors:Reviewed by ScreenIT
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Newborn antibodies to SARS-CoV-2 detected in cord blood after maternal vaccination – a case report
This article has 2 authors:Reviewed by ScreenIT
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Identification of HLA-A*02:01-Restricted Candidate Epitopes Derived from the Nonstructural Polyprotein 1a of SARS-CoV-2 That May Be Natural Targets of CD8 + T Cell Recognition In Vivo
This article has 2 authors:Reviewed by ScreenIT
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Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions
This article has 4 authors:Reviewed by ScreenIT
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Methylene Blue Inhibits the SARS-CoV-2 Spike–ACE2 Protein-Protein Interaction–a Mechanism that can Contribute to its Antiviral Activity Against COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Proteolytic Activation of SARS-CoV-2 Spike at the S1/S2 Boundary: Potential Role of Proteases beyond Furin
This article has 6 authors:Reviewed by ScreenIT
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Comparison of mental health service activity before and shortly after UK social distancing responses to the COVID-19 pandemic: February-March 2020
This article has 6 authors:Reviewed by ScreenIT
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Systematic review and meta-analysis of the prevalence of common respiratory viruses in children < 2 years with bronchiolitis in the pre-COVID-19 pandemic era
This article has 6 authors:Reviewed by ScreenIT
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Duration of SARS-CoV-2 viral shedding in faeces as a parameter for wastewater-based epidemiology: Re-analysis of patient data using a shedding dynamics model
This article has 3 authors:Reviewed by ScreenIT