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
-
Mutations in two SARS-CoV-2 variants of concern reflect two distinct strategies of antibody escape
This article has 17 authors:Reviewed by ScreenIT
-
Data-driven multiscale dynamical framework to control a pandemic evolution with non-pharmaceutical interventions
This article has 5 authors:Reviewed by ScreenIT
-
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico
This article has 4 authors:Reviewed by ScreenIT
-
Prognostic accuracy of triage tools for adults with suspected COVID-19 in a prehospital setting: an observational cohort study
This article has 15 authors:Reviewed by ScreenIT
-
Off-season RSV epidemics in Australia after easing of COVID-19 restrictions
This article has 34 authors:Reviewed by ScreenIT
-
Association between COVID-19 infection rates by region and implementation of non-pharmaceutical interventions: a cross-sectional study in Japan
This article has 10 authors:Reviewed by ScreenIT
-
Streptococcus pneumoniae colonization associates with impaired adaptive immune responses against SARS-CoV-2
This article has 30 authors:Reviewed by ScreenIT
-
High secondary attack rate and persistence of SARS-CoV-2 antibodies in household transmission study participants, Finland 2020–2021
This article has 18 authors:Reviewed by ScreenIT
-
Challenges to self-isolation among contacts of cases of COVID-19: a national telephone survey in Wales
This article has 4 authors:Reviewed by ScreenIT
-
Computational analysis of B cell receptor repertoires in COVID-19 patients using deep embedded representations of protein sequences
This article has 7 authors:Reviewed by ScreenIT