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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Ranking the relative importance of COVID-19 immunisation strategies: a survey of expert stakeholders in Canada
This article has 3 authors:Reviewed by ScreenIT
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Mathematical modeling of the SARS-CoV-2 epidemic in Qatar and its impact on the national response to COVID-19
This article has 20 authors:Reviewed by ScreenIT
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Empowering the crowd: feasible strategies for epidemic management in high-density informal settlements. The case of COVID-19 in Northwest Syria
This article has 5 authors:Reviewed by ScreenIT
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Heat-based N95 mask decontamination and reuse in a large hospital setting
This article has 14 authors:Reviewed by ScreenIT
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Predictors of QT Interval Prolongation in Critically-ill Patients with SARS-CoV-2 Infection Treated with Hydroxychloroquine
This article has 8 authors:Reviewed by ScreenIT
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Epidemic dynamics in inhomogeneous populations and the role of superspreaders
This article has 9 authors:Reviewed by ScreenIT
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Mental Health Status of Adolescents During the COVID-19 Pandemic: A Cross-sectional Survey among the Bangladeshi Graduate Students at Dhaka City
This article has 4 authors:Reviewed by ScreenIT
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Modelling safe protocols for reopening schools during the COVID-19 pandemic in France
This article has 5 authors:Reviewed by ScreenIT
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5-Alpha-Reductase Inhibitors Reduce Remission Time of COVID-19: Results From a Randomized Double Blind Placebo Controlled Interventional Trial in 130 SARS-CoV-2 Positive Men
This article has 4 authors:Reviewed by ScreenIT
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A Comprehensive Classification of Coronaviruses and Inferred Cross-Host Transmissions
This article has 4 authors:Reviewed by ScreenIT