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
-
mRNA COVID‐19 vaccine effectiveness against SARS‐CoV‐2 infection in a prospective community cohort, rural Wisconsin, November 2020 to December 2021
This article has 9 authors:Reviewed by ScreenIT
-
Genomic and Virological Characterization of SARS-CoV-2 Variants in a Subset of Unvaccinated and Vaccinated U.S. Military Personnel
This article has 16 authors:Reviewed by ScreenIT
-
Impact of an Immune Modulator Mycobacterium-w on Adaptive Natural Killer Cells and Protection Against COVID-19
This article has 11 authors:Reviewed by ScreenIT
-
Neurodevelopmental Outcomes at 1 Year in Infants of Mothers Who Tested Positive for SARS-CoV-2 During Pregnancy
This article has 5 authors:Reviewed by ScreenIT
-
Epidemiological Analysis of Hospitalized Cases of COVID-19 in Indigenous People in an Amazonian Region: Cross-Sectional Study with Data from the Surveillance of Acute and Severe Respiratory Syndromes in Brazil
This article has 3 authors:Reviewed by ScreenIT
-
Assessment of twenty-two SARS-CoV-2 rapid antigen tests against SARS-CoV-2: A laboratory evaluation study
This article has 16 authors:Reviewed by ScreenIT
-
The impact of COVID-19 restrictions on older adults’ loneliness: Evidence from high-frequency panel data in Austria
This article has 3 authors:Reviewed by ScreenIT
-
The impact of environmental mycobiomes on geographic variation in COVID-19 mortality
This article has 16 authors:Reviewed by ScreenIT
-
The anti–SARS-CoV-2 monoclonal antibody bamlanivimab minimally affects the endogenous immune response to COVID-19 vaccination
This article has 16 authors:Reviewed by ScreenIT
-
COVID-19 and Indian population: a comparative genetic analysis
This article has 6 authors:Reviewed by ScreenIT