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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A New Adaptive Logistic Model for Epidemics and the Resurgence of COVID-19 in the United States
This article has 1 author:Reviewed by ScreenIT
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A Novel Primer Probe Set for Detection of SARS-CoV-2 by Sensitive Droplet Digital PCR
This article has 6 authors:Reviewed by ScreenIT
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Characteristics of patients with COVID-19 during epidemic ongoing outbreak in Wuhan, China
This article has 12 authors:Reviewed by ScreenIT
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COVID-19 Spreading Dynamics with Vaccination – Allocation Strategy, Return to Normalcy and Vaccine Hesitancy
This article has 2 authors:Reviewed by ScreenIT
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Psychosocial health of school-aged children during the initial COVID-19 safer-at-home school mandates in Florida: a cross-sectional study
This article has 7 authors:Reviewed by ScreenIT
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Evaluating the Efficacy of Tocilizumab in Moderate to Severe COVID-19 with Progressive Illness despite Steroids: Identifying the Optimal Timing of its Administration in C3G study
This article has 13 authors:Reviewed by ScreenIT
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Routine asymptomatic testing strategies for airline travel during the COVID-19 pandemic: a simulation study
This article has 11 authors:Reviewed by ScreenIT
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Viral Cultures for Coronavirus Disease 2019 Infectivity Assessment: A Systematic Review
This article has 4 authors:Reviewed by ScreenIT
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Initial observations on age, gender, BMI and hypertension in antibody responses to SARS-CoV-2 BNT162b2 vaccine
This article has 29 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Molecular characterization of SARS-CoV-2 from Bangladesh: implications in genetic diversity, possible origin of the virus, and functional significance of the mutations
This article has 3 authors:Reviewed by ScreenIT