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
-
COVID-19 in French nursing homes during the second pandemic wave: a mixed-methods cross-sectional study
This article has 6 authors:Reviewed by ScreenIT
-
The impact of the COVID-19 school closure on adolescents’ use of mental healthcare services in Sweden
This article has 3 authors:Reviewed by ScreenIT
-
Comparisons of the risk of myopericarditis between COVID-19 patients and individuals receiving COVID-19 vaccines: a population-based study
This article has 13 authors:Reviewed by ScreenIT
-
Microarray-Based Detection of Antibodies against SARS-CoV-2 Proteins, Common Respiratory Viruses and Type I Interferons
This article has 9 authors:Reviewed by ScreenIT
-
mRNA booster immunization elicits potent neutralizing serum activity against the SARS-CoV-2 Omicron variant
This article has 9 authors:Reviewed by ScreenIT
-
A meta-analysis of Early Results to predict Vaccine efficacy against Omicron
This article has 6 authors:Reviewed by ScreenIT
-
Factors influencing the mental health of an ethnically diverse healthcare workforce during COVID-19: a qualitative study in the United Kingdom
This article has 11 authors:Reviewed by ScreenIT
-
Cardiometabolic outcomes up to 12 months after COVID-19 infection. A matched cohort study in the UK
This article has 6 authors:Reviewed by ScreenIT
-
Safety and Immunogenicity of a Heterologous Booster of Protein Subunit Vaccine MVC-COV1901 after Two Doses of Adenoviral Vector Vaccine AZD1222
This article has 4 authors:Reviewed by ScreenIT
-
Comparative Efficacy of Tocilizumab and Baricitinib Administration in COVID-19 Treatment: A Retrospective Cohort Study
This article has 12 authors:Reviewed by ScreenIT