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
-
Predictive profiling of SARS-CoV-2 variants by deep mutational learning
This article has 10 authors:Reviewed by ScreenIT
-
Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies
This article has 30 authors:Reviewed by ScreenIT
-
Risk of hospitalization and mortality after breakthrough SARS-CoV-2 infection by vaccine type and previous SARS-CoV-2 infection utilizing medical claims data
This article has 6 authors:Reviewed by ScreenIT
-
Surveillance of COVID-19 vaccine effectiveness: a real-time case–control study in southern Sweden
This article has 7 authors:Reviewed by ScreenIT
-
Unequal impact of the COVID-19 pandemic in 2020 on life expectancy across urban areas in Chile: a cross-sectional demographic study
This article has 2 authors:Reviewed by ScreenIT
-
Long COVID Citizen Scientists: Developing a Needs-Based Research Agenda by Persons Affected by Long COVID
This article has 7 authors:Reviewed by ScreenIT
-
Immune responses against SARS-CoV-2 variants after two and three doses of vaccine in B-cell malignancies: UK PROSECO study
This article has 34 authors:Reviewed by ScreenIT
-
Genetic overlap between idiopathic pulmonary fibrosis and COVID-19
This article has 8 authors:Reviewed by ScreenIT
-
Metabolic dysregulation induces impaired lymphocyte memory formation during severe SARS-CoV-2 infection
This article has 9 authors:Reviewed by ScreenIT
-
Factors influencing COVID-19 Infection in older individuals: History of Alcohol Use Disorder, Major Depressive illness, genetic variation and current use of alcohol
This article has 3 authors:Reviewed by ScreenIT