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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Contact tracing efficiency, transmission heterogeneity, and accelerating COVID-19 epidemics
This article has 2 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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A Single Immunization with Spike-Functionalized Ferritin Vaccines Elicits Neutralizing Antibody Responses against SARS-CoV-2 in Mice
This article has 10 authors:Reviewed by ScreenIT
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Host transcriptomic profiling of COVID-19 patients with mild, moderate, and severe clinical outcomes
This article has 13 authors:Reviewed by ScreenIT
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Impact of Vaccination and Testing in an Urban Campus model for the SARS-CoV-2 Pandemic *
This article has 2 authors:Reviewed by ScreenIT
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Identifying Communities at Risk for COVID-19–Related Burden Across 500 US Cities and Within New York City: Unsupervised Learning of the Coprevalence of Health Indicators
This article has 4 authors:Reviewed by ScreenIT
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High prevalence of SARS-CoV-2 swab positivity and increasing R number in England during October 2020: REACT-1 round 6 interim report
This article has 15 authors:Reviewed by ScreenIT
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The end of social confinement and COVID-19 re-emergence risk
This article has 2 authors:Reviewed by ScreenIT
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Five approaches to the suppression of SARS-CoV-2 without intensive social distancing
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2 evolution in an immunocompromised host reveals shared neutralization escape mechanisms
This article has 13 authors:Reviewed by ScreenIT
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Assessment of Psychotropic Drug Prescribing Among Nursing Home Residents in Ontario, Canada, During the COVID-19 Pandemic
This article has 7 authors:Reviewed by ScreenIT