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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Sensitivity and specificity of a rapid test for assessment of exposure to SARS-CoV-2 in a community-based setting in Brazil
This article has 10 authors:Reviewed by ScreenIT
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Taming Covid-19 Epidemic in São Paulo with a Logistic Model and Non-Pharmaceutical Measures
This article has 1 author:Reviewed by ScreenIT
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‘Immunity Passports’ for SARS-CoV-2: an online experimental study of the impact of antibody test terminology on perceived risk and behaviour
This article has 5 authors:Reviewed by ScreenIT
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Prepared and highly committed despite the risk of COVID-19 infection: a cross-sectional survey of primary care physicians’ concerns and coping strategies in Singapore
This article has 10 authors:Reviewed by ScreenIT
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Angiotensin Converting Enzyme Inhibitors and Angiotensin Receptor Blockers and Mortality Among COVID-19 Patients: A Systematic Review and Meta-Analysis
This article has 8 authors:Reviewed by ScreenIT
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Are Vapers More Susceptible to COVID-19 Infection?
This article has 4 authors:Reviewed by ScreenIT
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Comprehensive Testing Highlights Racial, Ethnic, and Age Disparities in the COVID-19 Outbreak: Epidemiological and Clinical Characteristic of Cases in Utah
This article has 16 authors:Reviewed by ScreenIT
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A single-cell RNA expression map of human coronavirus entry factors
This article has 3 authors:Reviewed by ScreenIT
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Development and presentation of an objective risk stratification tool for healthcare workers when dealing with the COVID-19 pandemic in the UK: risk modelling based on hospitalisation and mortality statistics compared with epidemiological data
This article has 8 authors:Reviewed by ScreenIT
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A biomarker based severity progression indicator for COVID-19: the Kuwait prognosis indicator score
This article has 9 authors:Reviewed by ScreenIT