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
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Changing case fatality risk for COVID-19 over time in selected European countries
This article has 4 authors:Reviewed by ScreenIT
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Humoral and Cell-Mediated Immune Response in Colostrum from Women Diagnosed Positive for SARS-CoV-2
This article has 9 authors:Reviewed by ScreenIT
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Safety, tolerability, and immunogenicity of an inactivated SARS-CoV-2 vaccine in healthy adults aged 18–59 years: a randomised, double-blind, placebo-controlled, phase 1/2 clinical trial
This article has 20 authors: -
Statistical analysis of the impact of environmental temperature on the exponential growth rate of cases infected by COVID-19
This article has 1 author:Reviewed by ScreenIT
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Shut and re-open: the role of schools in the spread of COVID-19 in Europe
This article has 6 authors:Reviewed by ScreenIT
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A comprehensive analysis of COVID-19 transmission and mortality rates at the county level in the United States considering socio-demographics, health indicators, mobility trends and health care infrastructure attributes
This article has 4 authors:Reviewed by ScreenIT
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Hybrid Modeling of Regional COVID-19 Transmission Dynamics in the U.S.
This article has 3 authors:Reviewed by ScreenIT
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RSI model: COVID-19 in Germany Alternating quarantine episodes and normal episodes
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 propagation by diffusion - a two-dimensional approach for Germany
This article has 1 author:Reviewed by ScreenIT
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A neutrophil activation signature predicts critical illness and mortality in COVID-19
This article has 30 authors:Reviewed by ScreenIT