ScreenIT
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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SARS-CoV-2 genomic surveillance identifies naturally occurring truncation of ORF7a that limits immune suppression
This article has 12 authors:Reviewed by ScreenIT
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Expression of ACE2, Soluble ACE2, Angiotensin I, Angiotensin II and Angiotensin-(1-7) Is Modulated in COVID-19 Patients
This article has 12 authors:Reviewed by ScreenIT
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Prediction of the infection of COVID-19 in Bangladesh by classical SIR model
This article has 4 authors:Reviewed by ScreenIT
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Association of County-Level Socioeconomic and Political Characteristics with Engagement in Social Distancing for COVID-19
This article has 3 authors:Reviewed by ScreenIT
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ESTIMATION OF COVID-19 CASES IN FRANCE AND IN DIFFERENT COUNTRIES: HOMOGENEISATION BASED ON MORTALITY
This article has 1 author:Reviewed by ScreenIT
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Performance of a rapid SARS-COV-2 serology test in whole blood and separated plasma
This article has 1 author:Reviewed by ScreenIT
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Analytical and clinical evaluation of four anti-SARS-CoV-2 serologic (IgM, IgG, and total) immunoassays
This article has 6 authors:Reviewed by ScreenIT
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The theory and practice of the viral dose in neutralization assay: Insights on SARS-CoV-2 “doublethink” effect
This article has 6 authors:Reviewed by ScreenIT
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Characterising COVID-19 as a Viral Clotting Fever: A Mixed Methods Scoping Review
This article has 2 authors:Reviewed by ScreenIT
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Associations between personal protective equipment and nursing staff stress during the COVID‐19 pandemic
This article has 3 authors:Reviewed by ScreenIT