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
-
Risk factors for SARS-CoV-2 transmission in student residences: a case-ascertained study
This article has 7 authors:Reviewed by ScreenIT
-
COVID-19 vaccine effectiveness against the omicron (BA.2) variant in England
This article has 11 authors:Reviewed by ScreenIT
-
Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study
This article has 20 authors:Reviewed by ScreenIT
-
Trivalent NDV-HXP-S Vaccine Protects against Phylogenetically Distant SARS-CoV-2 Variants of Concern in Mice
This article has 17 authors:Reviewed by ScreenIT
-
Vaccine effectiveness of one, two, and three doses of BNT162b2 and CoronaVac against COVID-19 in Hong Kong: a population-based observational study
This article has 9 authors:Reviewed by ScreenIT
-
Differences in neuroinflammation in the olfactory bulb between D614G, Delta and Omicron BA.1 SARS-CoV-2 variants in the hamster model
This article has 10 authors:Reviewed by ScreenIT
-
Improved And Optimized Drug Repurposing For The SARS-CoV-2 Pandemic
This article has 9 authors:Reviewed by ScreenIT
-
Prognostic factors for mortality, ICU and hospital admission due to SARS-CoV-2: A systematic review and meta-analysis of cohort studies in Europe
This article has 16 authors:Reviewed by ScreenIT
-
SARS-CoV-2 neutralizing camelid heavy-chain-only antibodies as powerful tools for diagnostic and therapeutic applications
This article has 11 authors:Reviewed by ScreenIT
-
Influenza infection in ferrets with SARS-CoV-2 infection history
This article has 11 authors:Reviewed by ScreenIT