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
-
Progress of the Delta variant and erosion of vaccine effectiveness, a warning from Utah
This article has 3 authors:Reviewed by ScreenIT
-
COVID-19 vaccine uptake among older people in relation to sociodemographic factors –cohort results from southern Sweden
This article has 6 authors:Reviewed by ScreenIT
-
The impact of school closures on adolescent health-related outcomes during the COVID-19 pandemic: A natural experiment in South Korea
This article has 2 authors:Reviewed by ScreenIT
-
B and T Cell Responses after a Third Dose of SARS-CoV-2 Vaccine in Kidney Transplant Recipients
This article has 19 authors:Reviewed by ScreenIT
-
Emergence of SARS-CoV-2 Variant B.1.575.2, Containing the E484K Mutation in the Spike Protein, in Pamplona, Spain, May to June 2021
This article has 10 authors:Reviewed by ScreenIT
-
Mental Health Utilization in Children in the time of COVID-19
This article has 4 authors:Reviewed by ScreenIT
-
Saliva molecular testing bypassing RNA extraction is suitable for monitoring and diagnosing SARS-CoV-2 infection in children
This article has 20 authors:Reviewed by ScreenIT
-
VPS29 Exerts Opposing Effects on Endocytic Viral Entry
This article has 4 authors:Reviewed by ScreenIT
-
Healthcare contacts with self-harm during COVID-19: An e-cohort whole-population-based study using individual-level linked routine electronic health records in Wales, UK, 2016—March 2021
This article has 8 authors:Reviewed by ScreenIT
-
Infectious SARS-CoV-2 is emitted in aerosols
This article has 6 authors:Reviewed by ScreenIT