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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In vitro efficacy of Artemisia extracts against SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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In silico Design of novel Multi-epitope recombinant Vaccine based on Coronavirus surface glycoprotein
This article has 1 author:Reviewed by ScreenIT
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Centenarians and extremely old people living with frailty can elicit durable SARS-CoV-2 spike specific IgG antibodies with virus neutralization functions following virus infection as determined by serological study
This article has 19 authors:Reviewed by ScreenIT
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Neuropilin-1 facilitates SARS-CoV-2 cell entry and infectivity
This article has 29 authors:Reviewed by ScreenIT
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Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection
This article has 44 authors:Reviewed by ScreenIT
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Evaluating Vaccine Efficacy Against Severe Acute Respiratory Syndrome Coronavirus 2 Infection
This article has 5 authors:Reviewed by ScreenIT
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The homology analysis of ACE2 gene and its distinct expression in laboratory and wild animals
This article has 7 authors:Reviewed by ScreenIT
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Modeling infection dynamics and mitigation strategies to support K-6 in-person instruction during the COVID-19 pandemic
This article has 7 authors:Reviewed by ScreenIT
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The 501Y.V2 SARS-CoV-2 variant has an intermediate viral load between the 501Y.V1 and the historical variants in nasopharyngeal samples from newly diagnosed COVID-19 patients
This article has 20 authors:Reviewed by ScreenIT
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Severe COVID-19 Is Characterized by an Impaired Type I Interferon Response and Elevated Levels of Arginase Producing Granulocytic Myeloid Derived Suppressor Cells
This article has 26 authors:Reviewed by ScreenIT