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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Covid-19, non-Covid-19 and excess mortality rates not comparable across countries
This article has 3 authors:Reviewed by ScreenIT
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Induction of Exaggerated Cytokine Production in Human Peripheral Blood Mononuclear Cells by a Recombinant SARS-CoV-2 Spike Glycoprotein S1 and Its Inhibition by Dexamethasone
This article has 4 authors:Reviewed by ScreenIT
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Factors influencing COVID-19 vaccination uptake in an elderly sample in Poland
This article has 2 authors:Reviewed by ScreenIT
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Air and surface measurements of SARS-CoV-2 inside a bus during normal operation
This article has 13 authors:Reviewed by ScreenIT
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A Glimpse into the Diverse Cellular Immunity against SARS-CoV-2
This article has 7 authors:Reviewed by ScreenIT
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Show us the data: global COVID-19 wastewater monitoring efforts, equity, and gaps
This article has 14 authors:Reviewed by ScreenIT
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Comparison of IgG and neutralizing antibody responses after one or two doses of COVID-19 mRNA vaccine in previously infected and uninfected individuals.
This article has 12 authors:Reviewed by ScreenIT
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Increased transmissibility of SARS-CoV-2 lineage B.1.1.7 by age and viral load
This article has 129 authors:Reviewed by ScreenIT
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Sequence analysis of SARS-CoV-2 in nasopharyngeal samples from patients with COVID-19 illustrates population variation and diverse phenotypes, placing the in vitro growth properties of B.1.1.7 and B.1.351 lineage viruses in context
This article has 20 authors:Reviewed by ScreenIT
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Modeling the effect of COVID-19 disease on the cardiac function: a computational study
This article has 10 authors:Reviewed by ScreenIT