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
-
Impact of the COVID-19 Pandemic on the Mental Health of College Students in India: Cross-sectional Web-Based Study
This article has 5 authors:Reviewed by ScreenIT
-
Perception of and anxiety about COVID-19 infection and risk behaviors for spreading infection: an international comparison
This article has 11 authors:Reviewed by ScreenIT
-
Strong correlation between prevalence of severe vitamin D deficiency and population mortality rate from COVID-19 in Europe
This article has 2 authors:Reviewed by ScreenIT
-
Analysis of Indian SARS-CoV-2 Genomes Reveals Prevalence of D614G Mutation in Spike Protein Predicting an Increase in Interaction With TMPRSS2 and Virus Infectivity
This article has 32 authors:Reviewed by ScreenIT
-
Excess mortality during the COVID-19 outbreak in Italy: a two-stage interrupted time-series analysis
This article has 9 authors:Reviewed by ScreenIT
-
Prevalence of readily detected amyloid blood clots in ‘unclotted’ Type 2 Diabetes Mellitus and COVID-19 plasma: a preliminary report
This article has 6 authors:Reviewed by ScreenIT
-
COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms
This article has 140 authors:Reviewed by ScreenIT
-
Buying time: an ecological survival analysis of COVID-19 spread based on the gravity model
This article has 1 author:Reviewed by ScreenIT
-
SARS-CoV-2 and SARS-CoV Spike-Mediated Cell-Cell Fusion Differ in Their Requirements for Receptor Expression and Proteolytic Activation
This article has 8 authors:Reviewed by ScreenIT
-
Estimating the Unknown
This article has 11 authors:Reviewed by ScreenIT