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
-
Elucidating host cell response pathways and repurposing therapeutics for SARS-CoV-2 and other coronaviruses using gene expression profiles of chemical and genetic perturbations
This article has 12 authors:Reviewed by ScreenIT
-
A mixed methods study evaluating acceptability of a daily COVID-19 testing regimen with a mobile-app connected, at-home, rapid antigen test: Implications for current and future pandemics
This article has 10 authors:Reviewed by ScreenIT
-
Tracking the circulating SARS-CoV-2 variants in Turkey: Complete genome sequencing and molecular characterization of 1000 SARS-CoV-2 samples
This article has 26 authors:Reviewed by ScreenIT
-
Phylogeny and Metadata Network Database for Epidemiologic Surveillance
This article has 8 authors:Reviewed by ScreenIT
-
Modeling the initial phase of COVID-19 epidemic: The role of age and disease severity in the Basque Country, Spain
This article has 6 authors:Reviewed by ScreenIT
-
Antinucleocapsid Antibodies After SARS-CoV-2 Infection in the Blinded Phase of the Randomized, Placebo-Controlled mRNA-1273 COVID-19 Vaccine Efficacy Clinical Trial
This article has 13 authors:Reviewed by ScreenIT
-
Estimating the risk of hospitalisation and death in England’s remaining unvaccinated population
This article has 5 authors:Reviewed by ScreenIT
-
Global reports of takotsubo (stress) cardiomyopathy following COVID-19 vaccination: A systematic review and meta-analysis
This article has 6 authors:Reviewed by ScreenIT
-
Low-dose bivalent mRNA vaccine is highly effective against different SARS-CoV-2 variants in a transgenic mouse model
This article has 19 authors:Reviewed by ScreenIT
-
An evaluation of prospective COVID-19 modelling studies in the USA: from data to science translation
This article has 8 authors:Reviewed by ScreenIT