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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SARS2 simplified scores to estimate risk of hospitalization and death among patients with COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Human liver organoid derived intra-hepatic bile duct cells support SARS-CoV-2 infection and replication
This article has 8 authors:Reviewed by ScreenIT
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De Novo Discovery of High-Affinity Peptide Binders for the SARS-CoV-2 Spike Protein
This article has 9 authors:Reviewed by ScreenIT
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Introduction into the Marseille geographical area of a mild SARS-CoV-2 variant originating from sub-Saharan Africa: An investigational study
This article has 21 authors:Reviewed by ScreenIT
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Longitudinal Serology of SARS-CoV-2-Infected Individuals in India: A Prospective Cohort Study
This article has 27 authors:Reviewed by ScreenIT
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Performance of national COVID-19 ‘symptom checkers’: a comparative case simulation study
This article has 3 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 ORF9b antagonizes type I and III interferons by targeting multiple components of the RIG‐I/MDA‐5–MAVS, TLR3–TRIF, and cGAS–STING signaling pathways
This article has 9 authors:Reviewed by ScreenIT
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Utility of Cloth Masks in Preventing Respiratory Infections: A Systematic Review
This article has 3 authors:Reviewed by ScreenIT
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Clinical validation of the Siemens quantitative SARS-CoV-2 spike IgG assay (sCOVG) reveals improved sensitivity and a good correlation with virus neutralization titers
This article has 20 authors:Reviewed by ScreenIT
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Assessing Global Covid-19 Cases Data through Compositional Data Analysis (CoDa)
This article has 1 author:Reviewed by ScreenIT