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
-
Estimating the Effectiveness of First Dose of COVID-19 Vaccine Against Mortality in England: A Quasi-Experimental Study
This article has 9 authors:Reviewed by ScreenIT
-
Variants of SARS-COV-2 and the Death Toll
This article has 1 author:Reviewed by ScreenIT
-
Evaluation of lymphocyte subtypes in COVID-19 patients
This article has 14 authors:Reviewed by ScreenIT
-
Quantifying pupil-to-pupil SARS-CoV-2 transmission and the impact of lateral flow testing in English secondary schools
This article has 8 authors:Reviewed by ScreenIT
-
Specchio-COVID19 cohort study: a longitudinal follow-up of SARS-CoV-2 serosurvey participants in the canton of Geneva, Switzerland
This article has 17 authors:Reviewed by ScreenIT
-
Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries and US states prior to mass vaccination
This article has 12 authors:Reviewed by ScreenIT
-
Epidemiology and Clinical Characteristics of People with Confirmed SARS-CoV-2 Infection during the Early COVID-19 Pandemic in Saudi Arabia
This article has 10 authors:Reviewed by ScreenIT
-
Combined anticoagulant and antiplatelet therapy is associated with an improved outcome in hospitalised patients with COVID-19: a propensity matched cohort study
This article has 9 authors:Reviewed by ScreenIT
-
Vaccination with BNT162b2 reduces transmission of SARS-CoV-2 to household contacts in Israel
This article has 7 authors: -
Association of stay-at-home orders and COVID-19 incidence and mortality in rural and urban United States: a population-based study
This article has 5 authors:Reviewed by ScreenIT