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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The Impact of COVID-19 on Care Seeking Behavior of Patients at Tertiary Care Follow-up Clinics: A Cross-Sectional Telephone Survey. Addis Ababa, Ethiopia
This article has 15 authors:Reviewed by ScreenIT
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Temporal rise in the proportion of younger adults and older adolescents among coronavirus disease (COVID-19) cases following the introduction of physical distancing measures, Germany, March to April 2020
This article has 2 authors:Reviewed by ScreenIT
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Describing the COVID-19 outbreak during the lockdown: fitting modified SIR models to data
This article has 2 authors:Reviewed by ScreenIT
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Hospital preparedness during epidemics using simulation: the case of COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging, and Test Data: Diagnostic Model Development
This article has 3 authors:Reviewed by ScreenIT
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Acute kidney injury in patients with severe COVID-19 in Mexico
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 seroprevalence in the urban population of Qatar: An analysis of antibody testing on a sample of 112,941 individuals
This article has 24 authors:Reviewed by ScreenIT
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Comparative Performance of Five Commercially Available Serologic Assays To Detect Antibodies to SARS-CoV-2 and Identify Individuals with High Neutralizing Titers
This article has 26 authors:Reviewed by ScreenIT
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SARS-COV-2 INFECTION AND LONGITUDINAL FECAL SCREENING IN MALAYAN TIGERS (PANTHERA TIGRIS JACKSONI), AMUR TIGERS (PANTHERA TIGRIS ALTAICA ), AND AFRICAN LIONS (PANTHERA LEO KRUGERI) AT THE BRONX ZOO, NEW YORK, USA
This article has 21 authors:Reviewed by ScreenIT
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A cross-sectional investigation of SARS-CoV-2 seroprevalence and associated risk factors in children and adolescents in the United States
This article has 14 authors:Reviewed by ScreenIT