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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Analysing air particle quantity in a dental primary care setting
This article has 2 authors:Reviewed by ScreenIT
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Application of optimal control to the dynamics of COVID-19 disease in South Africa
This article has 5 authors:Reviewed by ScreenIT
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Efficient Prevalence Estimation and Population Screening for SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Unique Predictors of Intended Uptake of a COVID-19 Vaccine in Adults Living in a Rural College Town in the United States
This article has 7 authors:Reviewed by ScreenIT
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The effect of seasonal respiratory virus transmission on syndromic surveillance for COVID-19 in Ontario, Canada
This article has 14 authors:Reviewed by ScreenIT
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Severe COVID-19-associated variants linked to chemokine receptor gene control in monocytes and macrophages
This article has 7 authors:Reviewed by ScreenIT
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Rapid endotheliitis and vascular damage characterize SARS‐CoV‐2 infection in a human lung‐on‐chip model
This article has 6 authors:Reviewed by ScreenIT
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SARS-CoV-2 Infection, Risk Perception, Behaviour and Preventive Measures at Schools in Berlin, Germany, during the Early Post-Lockdown Phase: A Cross-Sectional Study
This article has 28 authors:Reviewed by ScreenIT
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The Coronavirus Network Explorer: mining a large-scale knowledge graph for effects of SARS-CoV-2 on host cell function
This article has 6 authors:Reviewed by ScreenIT
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COVID-19: Effectiveness of Non-Pharmaceutical Interventions in the United States before Phased Removal of Social Distancing Protections Varies by Region
This article has 8 authors:Reviewed by ScreenIT