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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Contacts and behaviours of university students during the COVID-19 pandemic at the start of the 2020/2021 academic year
This article has 15 authors:Reviewed by ScreenIT
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Therapeutic use of convalescent plasma in COVID-19 patients with immunodeficiency
This article has 19 authors:Reviewed by ScreenIT
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Deaths among COVID Cases in the United States: Racial and Ethnic Disparities Persist
This article has 3 authors:Reviewed by ScreenIT
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Changes in the Health of Adolescent Athletes: A Comparison of Health Measures Collected Before and During the COVID-19 Pandemic
This article has 9 authors:Reviewed by ScreenIT
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Gastroenterological and hepatic manifestations of patients with COVID-19, prevalence, mortality by country, and intensive care admission rate: systematic review and meta-analysis
This article has 5 authors:Reviewed by ScreenIT
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Utility of Olfactory test as screening tool for COVID-19: A pilot study
This article has 18 authors:Reviewed by ScreenIT
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Clinical course and severity outcome indicators among COVID-19 hospitalized patients in relation to comorbidities distribution: Mexican cohort
This article has 8 authors:Reviewed by ScreenIT
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Clustering of countries for COVID-19 cases based on disease prevalence, health systems and environmental indicators
This article has 3 authors:Reviewed by ScreenIT
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Modeling the asymptomatic prevalence of SARS-CoV-2 epidemic in Italy and the ISTAT survey
This article has 4 authors:Reviewed by ScreenIT
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Longitudinal analysis of severe acute respiratory syndrome coronavirus 2 seroprevalence using multiple serology platforms
This article has 7 authors:Reviewed by ScreenIT