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
-
Machine learning identified distinct serum lipidomic signatures in hospitalized COVID-19-positive and COVID-19-negative patients
This article has 10 authors:Reviewed by ScreenIT
-
A Cloth Facemask Causes No Major Respiratory or Cardiovascular Perturbations During Moderate to Heavy Exercise
This article has 9 authors:Reviewed by ScreenIT
-
Analytical solution of l-i SEIR model–Comparison of l-i SEIR model with conventional SEIR model in simulation of epidemic curves
This article has 1 author:Reviewed by ScreenIT
-
Absence of Mortality Differences Between the First and Second COVID-19 Waves in Kidney Transplant Recipients
This article has 31 authors:Reviewed by ScreenIT
-
Early detection and improved genomic surveillance of SARS-CoV-2 variants from deep sequencing data
This article has 7 authors:Reviewed by ScreenIT
-
Waning of mRNA-1273 vaccine effectiveness against SARS-CoV-2 infection in Qatar
This article has 23 authors:Reviewed by ScreenIT
-
COVID-19 Vaccine Hesitancy in Diverse Groups in the UK—Is the Driver Economic or Cultural in Student Populations
This article has 5 authors:Reviewed by ScreenIT
-
Global SARS-CoV-2 seroprevalence from January 2020 to April 2022: A systematic review and meta-analysis of standardized population-based studies
This article has 30 authors:Reviewed by ScreenIT
-
Differential Risk of SARS-CoV-2 Infection by Occupation: Evidence from the Virus Watch prospective cohort study in England and Wales
This article has 15 authors:Reviewed by ScreenIT
-
Antibody-Mediated Immunogenicity Against Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Following Priming, Boosting, and Hybrid Immunity: Insights From 11 Months of Follow-up of a Healthcare Worker Cohort in Israel, December 2020–October 2021
This article has 10 authors:Reviewed by ScreenIT