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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Effects of SARS‐CoV‐2 mutations on protein structures and intraviral protein–protein interactions
This article has 8 authors:Reviewed by ScreenIT
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Anterior nasal versus nasal mid-turbinate sampling for a SARS-CoV-2 antigen-detecting rapid test: does localisation or professional collection matter?
This article has 13 authors:Reviewed by ScreenIT
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Novel indicators for evaluating topological threats to populations from pandemics applied to COVID-19
This article has 1 author:Reviewed by ScreenIT
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The Response of Pakistani Social Workers amid the COVID-19 Pandemic: A Qualitative Analysis of the Main Challenges
This article has 6 authors:Reviewed by ScreenIT
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Quantifying superspreading for COVID-19 using Poisson mixture distributions
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 peak estimation and effect of nationwide lockdown in India
This article has 4 authors:Reviewed by ScreenIT
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Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Serum Amyloid P inhibits single stranded RNA-induced lung inflammation, lung damage, and cytokine storm in mice
This article has 3 authors:Reviewed by ScreenIT
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2008 financial crisis versus 2020 economic fallout: how COVID-19 might influence fertility treatment and live births
This article has 5 authors:Reviewed by ScreenIT
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Correlation of COVID-19 Mortality with Clinical Parameters in an Urban and Suburban Nursing Home Population
This article has 2 authors:Reviewed by ScreenIT