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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Systematic and Statistical Review of Coronavirus Disease 19 Treatment Trials
This article has 7 authors:Reviewed by ScreenIT
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Who is lonely in lockdown? Cross-cohort analyses of predictors of loneliness before and during the COVID-19 pandemic
This article has 3 authors:Reviewed by ScreenIT
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COVID-19; Systematic and literature review of transmission, case definitions, clinical management and clinical trials.
This article has 6 authors:Reviewed by ScreenIT
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Ostavimir is ineffective against COVID-19: in silico assessment, in vitro and retrospective study
This article has 2 authors:Reviewed by ScreenIT
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Assessment of dispersion of airborne particles of oral/nasal fluid by high flow nasal cannula therapy
This article has 14 authors:Reviewed by ScreenIT
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COVID-19 death rates by age and sex and the resulting mortality vulnerability of countries and regions in the world
This article has 1 author:Reviewed by ScreenIT
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Changing trends of excess self-protective behavior, and association with belief in prevention myths during the COVID-19 epidemic in China: A panel study
This article has 4 authors:Reviewed by ScreenIT
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Hyperpyrexia leading to death in a patient with severe COVID-19 disease
This article has 4 authors:Reviewed by ScreenIT
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Estimating the cost-of-illness associated with the COVID-19 outbreak in China from January to March 2020
This article has 8 authors:Reviewed by ScreenIT
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The COVID-19 pandemic in Norway and Sweden – threats, trust, and impact on daily life: a comparative survey
This article has 8 authors:Reviewed by ScreenIT