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
-
Factors that Influence the Reported Sensitivity of Rapid Antigen Testing for SARS-CoV-2
This article has 10 authors:Reviewed by ScreenIT
-
Modeling third waves of Covid-19 spread with piecewise differential and integral operators: Turkey, Spain and Czechia
This article has 2 authors:Reviewed by ScreenIT
-
Measurement of multiple SARS-CoV-2 antibody titer after vaccination represents individual vaccine response and contributes to individually appropriate vaccination schedules
This article has 5 authors:Reviewed by ScreenIT
-
Analysis of Serological Biomarkers of SARS-CoV-2 Infection in Convalescent Samples From Severe, Moderate and Mild COVID-19 Cases
This article has 28 authors:Reviewed by ScreenIT
-
Heterologous vaccination strategy for containing COVID-19 pandemic
This article has 21 authors:Reviewed by ScreenIT
-
Emergence of SARS-CoV-2 variants of concern in the pediatric population of the United States
This article has 27 authors:Reviewed by ScreenIT
-
T-cell and antibody immunity after COVID-19 mRNA vaccines in healthy and immunocompromised subjects-An exploratory study
This article has 8 authors:Reviewed by ScreenIT
-
Are we allowed to visit now? Concerns and issues surrounding vaccination and infection risks in UK care homes during COVID-19
This article has 9 authors:Reviewed by ScreenIT
-
Clinical, Virological, Immunological, and Genomic Characterization of Asymptomatic and Symptomatic Cases With SARS-CoV-2 Infection in India
This article has 24 authors:Reviewed by ScreenIT
-
Modelling the effect of a border closure between Switzerland and Italy on the spatiotemporal spread of COVID-19 in Switzerland
This article has 4 authors:Reviewed by ScreenIT