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
-
Plant-based production of SARS-CoV-2 antigens for use in a subunit vaccine
This article has 7 authors:Reviewed by ScreenIT
-
Rapid and Effective Inactivation of SARS-CoV-2 with a Cationic Conjugated Oligomer with Visible Light: Studies of Antiviral Activity in Solutions and on Supports
This article has 11 authors:Reviewed by ScreenIT
-
Genomic epidemiology of the SARS-CoV-2 epidemic in Brazil
This article has 103 authors:Reviewed by ScreenIT
-
Comparison of Endoscopic Activity before and during the Covid Pandemic at a Tertiary Care Hospital in South Punjab
This article has 9 authors:Reviewed by ScreenIT
-
Highly sensitive and specific detection of the SARS-CoV-2 Delta variant by double-mismatch allele-specific real time reverse transcription PCR
This article has 5 authors:Reviewed by ScreenIT
-
Examining the association between the COVID-19 pandemic and self-harm death counts in four Canadian provinces
This article has 2 authors:Reviewed by ScreenIT
-
Differential immunogenicity of homologous versus heterologous boost in Ad26.COV2.S vaccine recipients
This article has 13 authors:Reviewed by ScreenIT
-
Vaccine effectiveness against SARS-CoV-2 transmission to household contacts during dominance of Delta variant (B.1.617.2), the Netherlands, August to September 2021
This article has 8 authors:Reviewed by ScreenIT
-
Genetically determined serum testosterone level and Covid-19 illness level: A mendelian randomization study
This article has 7 authors:Reviewed by ScreenIT
-
Breakthrough SARS-CoV-2 Infections after Vaccination in North Carolina
This article has 23 authors:Reviewed by ScreenIT