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
-
Drug-Repurposing Screening Identified Tropifexor as a SARS-CoV-2 Papain-like Protease Inhibitor
This article has 5 authors:Reviewed by ScreenIT
-
Prospective individual patient data meta-analysis of two randomized trials on convalescent plasma for COVID-19 outpatients
This article has 200 authors:Reviewed by ScreenIT
-
Digital exclusion predicts worse mental health among adolescents during COVID-19
This article has 5 authors:Reviewed by ScreenIT
-
Estimating the increase in reproduction number associated with the Delta variant using local area dynamics in England
This article has 4 authors:Reviewed by ScreenIT
-
SARS-CoV-2 infection dynamics revealed by wastewater sequencing analysis and deconvolution
This article has 25 authors:Reviewed by ScreenIT
-
SARS-CoV-2–specific T cells in unexposed adults display broad trafficking potential and cross-react with commensal antigens
This article has 12 authors:Reviewed by ScreenIT
-
Association of Subcutaneous or Intravenous Administration of Casirivimab and Imdevimab Monoclonal Antibodies With Clinical Outcomes in Adults With COVID-19
This article has 27 authors:Reviewed by ScreenIT
-
Lifestyle Behaviours of Children and Adolescents During the First Two Waves of the COVID-19 Pandemic in Switzerland and Their Relation to Well-Being: An Observational Study
This article has 11 authors:Reviewed by ScreenIT
-
Main protease mutants of SARS-CoV-2 variants remain susceptible to nirmatrelvir
This article has 4 authors:Reviewed by ScreenIT
-
Differential neutralization and inhibition of SARS-CoV-2 variants by antibodies elicited by COVID-19 mRNA vaccines
This article has 85 authors:Reviewed by ScreenIT