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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C Reactive Protein based early intervention for home quarantined COVID-19 patients to avoid complications and hospitalization
This article has 4 authors:Reviewed by ScreenIT
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Increased lung cell entry of B.1.617.2 and evasion of antibodies induced by infection and BNT162b2 vaccination
This article has 14 authors:Reviewed by ScreenIT
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Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort
This article has 64 authors:Reviewed by ScreenIT
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Inflection in prevalence of SARS-CoV-2 infections missing the N501Y mutation as a marker of rapid Delta (B.1.617.2) lineage expansion in Ontario, Canada
This article has 7 authors:Reviewed by ScreenIT
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The challenge of structural heterogeneity in the native mass spectrometry studies of the SARS-CoV-2 spike protein interactions with its host cell-surface receptor
This article has 3 authors:Reviewed by ScreenIT
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Potential environmental transmission routes of SARS-CoV-2 inside a large meat processing plant experiencing COVID-19 clusters
This article has 15 authors:Reviewed by ScreenIT
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App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden
This article has 36 authors:Reviewed by ScreenIT
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SARS-CoV-2 Vaccine Induced Atypical Immune Responses in Antibody Defects: Everybody Does their Best
This article has 19 authors:Reviewed by ScreenIT
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Multicenter Postimplementation Assessment of the Positive Predictive Value of SARS-CoV-2 Antigen-Based Point-of-Care Tests Used for Screening of Asymptomatic Continuing Care Staff
This article has 8 authors:Reviewed by ScreenIT
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First identification of SARS-CoV-2 lambda (C.37) variant in Southern Brazil
This article has 7 authors:Reviewed by ScreenIT