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
-
Modeling predicts mechanisms altered by mutations of the SARS-CoV-2 delta and omicron variants
This article has 8 authors:Reviewed by ScreenIT
-
Preliminary Evidence of a Link between COVID-19 Vaccines and Otologic Symptoms
This article has 2 authors:Reviewed by ScreenIT
-
SARS-CoV-2 RNA Wastewater Settled Solids Surveillance Frequency and Impact on Predicted COVID-19 Incidence Using a Distributed Lag Model
This article has 7 authors:Reviewed by ScreenIT
-
Impact of key meteorological parameters on the spread of COVID-19 in Mumbai: Correlation and Regression Analysis
This article has 6 authors:Reviewed by ScreenIT
-
SARS-CoV-2 seroprevalence, vaccination, and hesitancy in agricultural workers in Guatemala
This article has 10 authors:Reviewed by ScreenIT
-
Abdominal imaging associates body composition with COVID-19 severity
This article has 8 authors:Reviewed by ScreenIT
-
Association of Workload and Practice of Respectful Maternity Care Among the Healthcare Providers, Before and During the COVID-19 Pandemic in South Western Nepal: A Cross-Sectional Study
This article has 5 authors:Reviewed by ScreenIT
-
Olfactory loss is an early and reliable marker for COVID-19
This article has 3 authors:Reviewed by ScreenIT
-
Long-term Durable Humoral Immune Response to Heterologous Antigenic Exposure Post six months by Natural SARS-CoV-2 Infection and Vaccination
This article has 27 authors:Reviewed by ScreenIT
-
Risk of SARS-CoV-2 Infection Breakthrough among the Non-Vaccinated and Vaccinated Population in Italy: A Real-World Evidence Study Based on Big Data
This article has 6 authors:Reviewed by ScreenIT