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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A pair of non-competing neutralizing human monoclonal antibodies protecting from disease in a SARS-CoV-2 infection model
This article has 33 authors:Reviewed by ScreenIT
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COVID-19 and mortality risk in patients with psychiatric disorders
This article has 2 authors:Reviewed by ScreenIT
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Age-targeted dose allocation can halve COVID-19 vaccine requirements
This article has 7 authors:Reviewed by ScreenIT
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Live Virus Neutralisation of the 501Y.V1 and 501Y.V2 SARS-CoV-2 Variants following INO-4800 Vaccination of Ferrets
This article has 11 authors:Reviewed by ScreenIT
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Health risk behaviours among people with severe mental ill health during the COVID-19 pandemic: Analysis of linked cohort data
This article has 10 authors:Reviewed by ScreenIT
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Nelfinavir markedly improves lung pathology in SARS-CoV-2-infected Syrian hamsters despite lack of an antiviral effect
This article has 21 authors:Reviewed by ScreenIT
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Previous SARS-CoV-2 Infection Increases B.1.1.7 Cross-Neutralization by Vaccinated Individuals
This article has 27 authors:Reviewed by ScreenIT
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Production of a Highly Immunogenic Antigen from SARS-CoV-2 by Covalent Coupling of the Receptor Binding Domain of Spike Protein to a Multimeric Carrier
This article has 28 authors:Reviewed by ScreenIT
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The high infectivity of SARS-CoV-2 B.1.1.7 is associated with increased interaction force between Spike-ACE2 caused by the viral N501Y mutation
This article has 2 authors:Reviewed by ScreenIT
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Genetic modification to design a stable yeast-expressed recombinant SARS-CoV-2 receptor binding domain as a COVID-19 vaccine candidate
This article has 18 authors:Reviewed by ScreenIT