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
-
Associations between ongoing COVID ‐19 lockdown and the financial and mental health experiences of Australian families
This article has 11 authors:Reviewed by ScreenIT
-
A systematic review of the impact of the Alpha and Gamma variants of concern on hospitalization and symptomatic rates of SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
-
Interaction between Spike Protein of SARS-CoV-2 and Human Virus Receptor ACE2 Using Two-Color Fluorescence Cross-Correlation Spectroscopy
This article has 4 authors:Reviewed by ScreenIT
-
Effectiveness of Coronavirus Disease 2019 (COVID-19) Vaccines Among Incarcerated People in California State Prisons: Retrospective Cohort Study
This article has 13 authors:Reviewed by ScreenIT
-
Integration of RT-LAMP and Microfluidic Technology for Detection of SARS-CoV-2 in Wastewater as an Advanced Point-of-Care Platform
This article has 9 authors:Reviewed by ScreenIT
-
Development of an in vitro model for animal species susceptibility to SARS-CoV-2 replication based on expression of ACE2 and TMPRSS2 in avian cells
This article has 5 authors:Reviewed by ScreenIT
-
The Rapid Assessment of Aggregated Wastewater Samples for Genomic Surveillance of SARS-CoV-2 on a City-Wide Scale
This article has 16 authors:Reviewed by ScreenIT
-
High-Spatiotemporal-Resolution Nanopore Sequencing of SARS-CoV-2 and Host Cell RNAs
This article has 10 authors:Reviewed by GigaScience, ScreenIT
-
Infection With the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Delta Variant Is Associated With Higher Recovery of Infectious Virus Compared to the Alpha Variant in Both Unvaccinated and Vaccinated Individuals
This article has 11 authors:Reviewed by ScreenIT
-
The association between immunosuppressants use and COVID-19 adverse outcomes: national COVID-19 cohort in South Korea
This article has 7 authors:Reviewed by ScreenIT