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
-
PREVALENCE AND PREDICTORS OF STRESS AMONG COVID-19 HEALTH WORKERS IN KABWE DISTRICT- A CROSS SECTIONAL STUDY
This article has 5 authors:Reviewed by ScreenIT
-
An in silico analysis of early SARS-CoV-2 variant B.1.1.529 (Omicron) genomic sequences and their epidemiological correlates
This article has 15 authors:Reviewed by ScreenIT
-
Analysis of cutoff point estimation for determining seropositivity in the context of SARS-CoV-2 infections
This article has 3 authors:Reviewed by ScreenIT
-
Factors associated with COVID-19 vaccine hesitancy in Senegal: A mixed study
This article has 8 authors:Reviewed by ScreenIT
-
mRNA-1273 and BNT162b2 mRNA vaccines have reduced neutralizing activity against the SARS-CoV-2 omicron variant
This article has 28 authors:Reviewed by ScreenIT
-
The Geometry of ATG-Walks of the Omicron SARS CoV-2 Virus RNAs
This article has 1 author:Reviewed by ScreenIT
-
Blockade of TMPRSS2-mediated priming of SARS-CoV-2 by lactoferricin
This article has 11 authors:Reviewed by ScreenIT
-
Immune escape of SARS-CoV-2 Omicron variant from mRNA vaccination-elicited RBD-specific memory B cells
This article has 31 authors:Reviewed by ScreenIT
-
The N -Terminal Carbamate is Key to High Cellular and Antiviral Potency for Boceprevir-Based SARS-CoV-2 Main Protease Inhibitors
This article has 17 authors:Reviewed by ScreenIT
-
Evaluation of the Roche SARS-CoV-2 Rapid Antibody Test in Samples from Vaccinated Individuals
This article has 2 authors:Reviewed by ScreenIT