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
-
Assessing the filtration efficiency and regulatory status of N95s and nontraditional filtering face-piece respirators available during the COVID-19 pandemic
This article has 15 authors:Reviewed by ScreenIT
-
Modeling COVID-19 as a National Dynamics with a SARS-CoV-2 Prevalent Variant: Brazil - A Study Case
This article has 1 author:Reviewed by ScreenIT
-
Prevalence and changes in food-related hardships by socioeconomic and demographic groups during the COVID-19 pandemic in the UK: A longitudinal panel study
This article has 4 authors:Reviewed by ScreenIT
-
The seroprevalence and kinetics of IgM and IgG in the progression of COVID-19
This article has 14 authors:Reviewed by ScreenIT
-
Role of pollution and weather indicators in the COVID-19 outbreak: A brief study on Delhi, India
This article has 2 authors:Reviewed by ScreenIT
-
Dynamics of Neutralizing Antibody Titers in the Months After Severe Acute Respiratory Syndrome Coronavirus 2 Infection
This article has 15 authors:Reviewed by ScreenIT
-
COVID-19 UK Lockdown Forecasts and R0
This article has 1 author:Reviewed by ScreenIT
-
Structural stability of SARS-CoV-2 virus like particles degrades with temperature
This article has 8 authors:Reviewed by ScreenIT
-
A betacoronavirus multiplex microsphere immunoassay detects early SARS-CoV-2 seroconversion and controls for pre-existing seasonal human coronavirus antibody cross-reactivity
This article has 23 authors:Reviewed by ScreenIT
-
Evolution of COVID-19 patients treated with a combination of nutraceuticals to reduce symptomatology and improve prognosis: a multi-centred, retrospective cohort study
This article has 3 authors:Reviewed by ScreenIT