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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Face masks, public policies and slowing the spread of COVID-19: Evidence from Canada
This article has 5 authors:Reviewed by ScreenIT
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Psychological distress among people with probable COVID-19 infection: analysis of the UK Household Longitudinal Study
This article has 5 authors:Reviewed by ScreenIT
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Full-spectrum dynamics of the coronavirus disease outbreak in Wuhan, China: a modeling study of 32,583 laboratory-confirmed cases
This article has 6 authors:Reviewed by ScreenIT
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Outcomes of Hydroxychloroquine Treatment Among Hospitalized COVID-19 Patients in the United States- Real-World Evidence From a Federated Electronic Medical Record Network
This article has 4 authors:Reviewed by ScreenIT
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Coagulation factors and the incidence of COVID-19 severity: Mendelian randomization analyses and supporting evidence
This article has 10 authors:Reviewed by ScreenIT
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A holistic approach for suppression of COVID-19 spread in workplaces and universities
This article has 22 authors:Reviewed by ScreenIT
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Broad-spectrum antiviral activity of 3D8, a nucleic acid-hydrolyzing single chain variable fragment (scFv), targeting SARS-CoV-2 and multiple coronaviruses in vitro
This article has 16 authors:Reviewed by ScreenIT
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Association of physical activity levels and the prevalence of COVID-19-associated hospitalization
This article has 8 authors:Reviewed by ScreenIT
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Clinical evaluation of the molecular-based BD SARS-CoV-2/Flu for the BD MAX™ system
This article has 4 authors:Reviewed by ScreenIT
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Major role of IgM in the neutralizing activity of convalescent plasma against SARS-CoV-2
This article has 20 authors:Reviewed by ScreenIT