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
-
Differences in SARS-CoV-2 infections during the first and second wave of SARS-CoV-2 between six ethnic groups in Amsterdam, the Netherlands: A population-based longitudinal serological study
This article has 16 authors:Reviewed by ScreenIT
-
The adverse impact of consecutive COVID-19 waves on mental health
This article has 11 authors:Reviewed by ScreenIT
-
Prospective examination of mental health in university students during the COVID-19 pandemic
This article has 15 authors:Reviewed by ScreenIT
-
Estimates of Single Dose and Full Dose BNT162b2 Vaccine Effectiveness among USAF Academy cadets, 1 Mar - 1 May 2021
This article has 9 authors:Reviewed by ScreenIT
-
Regional Variant Analysis of Spike Glycoprotein Mutations of SARS-CoV-2 and Its Implications in COVID-19 Pandemic Control
This article has 5 authors:Reviewed by ScreenIT
-
Helmet noninvasive ventilation for COVID-19 patients (Helmet-COVID): statistical analysis plan for a randomized controlled trial
This article has 25 authors:Reviewed by ScreenIT
-
Vaccine effectiveness against SARS-CoV-2 infection, hospitalization, and death when combining a first dose ChAdOx1 vaccine with a subsequent mRNA vaccine in Denmark: A nationwide population-based cohort study
This article has 8 authors:Reviewed by ScreenIT
-
BRET-Based Self-Cleaving Biosensors for SARS-CoV-2 3CLpro Inhibitor Discovery
This article has 5 authors:Reviewed by ScreenIT
-
General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study
This article has 27 authors:Reviewed by ScreenIT
-
Highly Efficient SARS-CoV-2 Infection of Human Cardiomyocytes: Spike Protein-Mediated Cell Fusion and Its Inhibition
This article has 11 authors:Reviewed by ScreenIT