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
-
When months matter; modelling the impact of the COVID-19 pandemic on the diagnostic pathway of Motor Neurone Disease (MND)
This article has 7 authors:Reviewed by ScreenIT
-
Foistar(Camostat mesylate) associated with the significant decrease in CRP levels compared to Kaletra(Lopinavir/Ritonavir) treatment in Korean mild COVID-19 pneumonic patients.
This article has 6 authors:Reviewed by ScreenIT
-
PTSD symptoms related to COVID-19 as a high risk factor for suicide - Key to prevention
This article has 13 authors:Reviewed by ScreenIT
-
The Relationship Between Demographic, Socioeconomic, and Health-Related Parameters and the Impact of COVID-19 on 24 Regions in India: Exploratory Cross-Sectional Study
This article has 1 author:Reviewed by ScreenIT
-
Measurement of small droplet aerosol concentrations in public spaces using handheld particle counters
This article has 5 authors:Reviewed by ScreenIT
-
Comparing the fit of N95, KN95, surgical, and cloth face masks and assessing the accuracy of fit checking
This article has 5 authors:Reviewed by ScreenIT
-
Mathematical modeling and optimal control analysis of COVID-19 in Ethiopia
This article has 2 authors:Reviewed by ScreenIT
-
Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource
This article has 12 authors:Reviewed by ScreenIT
-
Quantitative Assays Reveal Cell Fusion at Minimal Levels of SARS-CoV-2 Spike Protein and Fusion-from-Without
This article has 7 authors:Reviewed by ScreenIT
-
The Activin/Follistatin Axis Is Severely Deregulated in COVID-19 and Independently Associated With In-Hospital Mortality
This article has 20 authors:Reviewed by ScreenIT