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
-
COVID-19: Estimation of the Actual Onset of Local Epidemic Cycles, Determination of Total Number of Infective, and Duration of the Incubation Period
This article has 2 authors:Reviewed by ScreenIT
-
Genetic Screens Identify Host Factors for SARS-CoV-2 and Common Cold Coronaviruses
This article has 20 authors:Reviewed by ScreenIT
-
Fractal kinetics of COVID-19 pandemic (with update 3/1/20)
This article has 2 authors:Reviewed by ScreenIT
-
The impact of lockdown during the COVID-19 pandemic on mental and social health of children and adolescents
This article has 11 authors:Reviewed by ScreenIT
-
Comparative Multiplexed Interactomics of SARS-CoV-2 and Homologous Coronavirus Nonstructural Proteins Identifies Unique and Shared Host-Cell Dependencies
This article has 4 authors:Reviewed by ScreenIT
-
Change in outbreak epicentre and its impact on the importation risks of COVID-19 progression: A modelling study
This article has 9 authors:Reviewed by ScreenIT
-
A Novel Approach to Monitoring the COVID-19 Pandemic using Emergency Department Discharge Diagnoses
This article has 6 authors:Reviewed by ScreenIT
-
Divergences on expected pneumonia cases during the COVID-19 epidemic in Catalonia: a time-series analysis of primary care electronic health records covering about 6 million people
This article has 11 authors:Reviewed by ScreenIT
-
Associations between ambient air pollutants exposure and case fatality rate of COVID-19: a multi-city ecological study in China
This article has 5 authors:Reviewed by ScreenIT
-
SARS‐CoV‐2 worldwide replication drives rapid rise and selection of mutations across the viral genome: a time‐course study – potential challenge for vaccines and therapies
This article has 5 authors:Reviewed by ScreenIT