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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Geographic disparities and predictors of COVID-19 hospitalization risks in the St. Louis Area, Missouri (USA)
This article has 8 authors:Reviewed by ScreenIT
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The 1968 Influenza Pandemic and COVID-19 Outcomes
This article has 3 authors:Reviewed by ScreenIT
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Seroprevalence, Prevalence, and Genomic Surveillance: Monitoring the Initial Phases of the SARS-CoV-2 Pandemic in Betim, Brazil
This article has 38 authors:Reviewed by ScreenIT
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Psychological Distress Before and During the COVID-19 Pandemic Among Adults in the United Kingdom Based on Coordinated Analyses of 11 Longitudinal Studies
This article has 23 authors:Reviewed by ScreenIT
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Seroconversion rate and socio-economic and ethnic risk factors for SARS-CoV-2 infection in children in a population-based cohort, Germany, June 2020 to February 2021
This article has 8 authors:Reviewed by ScreenIT
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Higher mortality associated with the SARS-CoV-2 Delta variant in the Western Cape, South Africa, using RdRp target delay as a proxy: a cross-sectional study.
This article has 25 authors:Reviewed by ScreenIT
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Neutralizing Antibody Response to Pseudotype Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Differs Between mRNA-1273 and BNT162b2 Coronavirus Disease 2019 (COVID-19) Vaccines and by History of SARS-CoV-2 Infection
This article has 28 authors:Reviewed by ScreenIT
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Safety and immunogenicity of the COVID-19 vaccine BNT162b2 in patients undergoing chemotherapy for solid cancer
This article has 18 authors:Reviewed by ScreenIT
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COVID-19 vaccination mandates and vaccine uptake
This article has 4 authors:Reviewed by ScreenIT
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Modeling the impact of school reopening and contact tracing strategies on COVID-19 dynamics in different epidemiologic settings in Brazil
This article has 14 authors:Reviewed by ScreenIT