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
-
Inactivated Vaccines Against SARS-CoV-2: Neutralizing Antibody Titers in Vaccine Recipients
This article has 16 authors:Reviewed by ScreenIT
-
Controlled evaLuation of Angiotensin Receptor Blockers for COVID-19 respIraTorY disease (CLARITY): statistical analysis plan for a randomised controlled Bayesian adaptive sample size trial
This article has 12 authors:Reviewed by ScreenIT
-
CORONAVIRUS DISEASE 2019 IN A TERTIARY PEDIATRIC CENTER IN PORTUGAL
This article has 5 authors:Reviewed by ScreenIT
-
Modeling SARS-CoV-2 transmission at a winter destination resort region with high outside visitation
This article has 5 authors:Reviewed by ScreenIT
-
Effect of COVID-19 infection related experiences on outing behaviors when a state of emergency is declared: a cohort study
This article has 10 authors:Reviewed by ScreenIT
-
Intention to Receive a COVID-19 Vaccine by HIV Status Among a Population-Based Sample of Women and Gender Diverse Individuals in British Columbia, Canada
This article has 14 authors:Reviewed by ScreenIT
-
Seroresponse to SARS-CoV-2 Vaccines Among Maintenance Dialysis Patients
This article has 14 authors:Reviewed by ScreenIT
-
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)–Specific T Cells and Antibodies in Coronavirus Disease 2019 (COVID-19) Protection: A Prospective Study
This article has 61 authors:Reviewed by ScreenIT
-
Delta variant and mRNA Covid-19 vaccines effectiveness: higher odds of vaccine infection breakthroughs
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
-
Assessment of Inter-Laboratory Differences in SARS-CoV-2 Consensus Genome Assemblies between Public Health Laboratories in Australia
This article has 12 authors:Reviewed by ScreenIT