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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Comorbidities associated with regional variations in COVID-19 mortality revealed by population-level analysis
This article has 2 authors:Reviewed by ScreenIT
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Encephalopathies Associated With Severe COVID-19 Present Neurovascular Unit Alterations Without Evidence for Strong Neuroinflammation
This article has 17 authors:Reviewed by ScreenIT
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The Mental Health of Healthcare Staff Working During the COVID-19 Crisis: Their Working Hours as a Boundary Condition
This article has 7 authors:Reviewed by ScreenIT
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Coinfections with Respiratory Pathogens among COVID-19 Patients in Korea
This article has 8 authors:Reviewed by ScreenIT
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Serology assessment of antibody response to SARS-CoV-2 in patients with COVID-19 by rapid IgM/IgG antibody test
This article has 12 authors:Reviewed by ScreenIT
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Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through November 2020
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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COVID-19 DEATH TOLL: THE ROLE OF THE NATION’S ECONOMIC DEVELOPMENT
This article has 2 authors:Reviewed by ScreenIT
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Transport effect of COVID-19 pandemic in France
This article has 6 authors:Reviewed by ScreenIT
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Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom
This article has 3 authors:Reviewed by ScreenIT
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Place and causes of acute cardiovascular mortality during the COVID-19 pandemic
This article has 11 authors:Reviewed by ScreenIT