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
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Flushing of Stagnant Premise Water Systems after the COVID-19 Shutdown Can Reduce Infection Risk by Legionella and Mycobacterium spp.
This article has 7 authors:Reviewed by ScreenIT
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Early use of nitazoxanide in mild COVID-19 disease: randomised, placebo-controlled trial
This article has 29 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Worries about COVID-19 infection and psychological distress at work and while commuting
This article has 9 authors:Reviewed by ScreenIT
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An empirical analysis of what people learned about COVID-19 through web search and the impacts on misinformation and attitude towards public health safety guidelines
This article has 3 authors:Reviewed by ScreenIT
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Multiple Introductions Followed by Ongoing Community Spread of SARS-CoV-2 at One of the Largest Metropolitan Areas of Northeast Brazil
This article has 30 authors:Reviewed by ScreenIT
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Abnormal upregulation of cardiovascular disease biomarker PLA2G7 induced by proinflammatory macrophages in COVID-19 patients
This article has 23 authors:Reviewed by ScreenIT
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Inhibition of SARS-CoV-2 in Vero cell cultures by peptide-conjugated morpholino oligomers
This article has 7 authors:Reviewed by ScreenIT
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Health systems trust in the time of Covid-19 pandemic in Bangladesh: A qualitative exploration
This article has 3 authors:Reviewed by ScreenIT
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The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles
This article has 5 authors:Reviewed by ScreenIT
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Socioeconomic Disparities in the Effects of Pollution on Spread of Covid-19: Evidence from US Counties
This article has 3 authors:Reviewed by ScreenIT