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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Metformin and risk of mortality in patients hospitalised with COVID-19: a retrospective cohort analysis
This article has 17 authors:Reviewed by ScreenIT
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Impacts of the Covid-19 lockdown and relevant vulnerabilities on capability well-being, mental health and social support: an Austrian survey study
This article has 5 authors:Reviewed by ScreenIT
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Downregulation of exhausted cytotoxic T cells in gene expression networks of multisystem inflammatory syndrome in children
This article has 189 authors:Reviewed by ScreenIT, Rapid Reviews Infectious Diseases
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Estimates of the COVID-19 pandemic dynamics in Ukraine based on two data sets
This article has 1 author:Reviewed by ScreenIT
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Early and massive testing saves lives: COVID-19 related infections and deaths in the United States during March of 2020
This article has 7 authors:Reviewed by ScreenIT
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Prediction of evolution of the second wave of Covid-19 pandemic in Italy
This article has 2 authors:Reviewed by ScreenIT
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Deep learning-based detection of COVID-19 using wearables data
This article has 2 authors:Reviewed by ScreenIT
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Evaluation of a home-based 7-day infection control strategy for healthcare workers following high-risk exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2): A cohort study
This article has 13 authors:Reviewed by ScreenIT
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Knowledge and perceptions on COVID-19 among Senior High School students in Ghana: a cross-sectional study
This article has 5 authors:Reviewed by ScreenIT
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Universal Health Coverage and COVID-19 Pandemic: A Bangladesh Perspective
This article has 2 authors:Reviewed by ScreenIT