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
-
Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity
This article has 225 authors:Reviewed by ScreenIT
-
Analytical Sensitivity of Eight Different SARS-CoV-2 Antigen-Detecting Rapid Tests for Omicron-BA.1 Variant
This article has 13 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
A nationwide deep learning pipeline to predict stroke and COVID-19 death in atrial fibrillation
This article has 11 authors:Reviewed by ScreenIT
-
Immunity acquired by a minority active fraction of the population could explain COVID-19 spread in Greater Buenos Aires (June–November 2020)
This article has 4 authors:Reviewed by ScreenIT
-
Spatiotemporal patterns and progression of the Delta variant of COVID-19 and their health intervention linkages in Southeast Asia
This article has 7 authors:Reviewed by ScreenIT
-
Variability in Physical Inactivity Responses of University Students during COVID-19 Pandemic: A Monitoring of Daily Step Counts Using a Smartphone Application
This article has 10 authors:Reviewed by ScreenIT
-
Diminished neutralization responses towards SARS-CoV-2 Omicron VoC after mRNA or vector-based COVID-19 vaccinations
This article has 30 authors:Reviewed by ScreenIT
-
Field evaluation of Rapid SARS-Cov2 Antigen screening test on self-collected deep throat saliva samples in Malaysia
This article has 4 authors:Reviewed by ScreenIT
-
VaxiMap: optimal delivery of vaccinations for housebound patients
This article has 4 authors:Reviewed by ScreenIT
-
Effectiveness of different booster regimens for preventing infection and adverse outcomes in Puerto Rico
This article has 2 authors:Reviewed by ScreenIT