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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Computer-Aided Medical Microbiology Monitoring Tool: A Strategy to Adapt to the SARS-CoV-2 Epidemic and That Highlights RT-PCR Consistency
This article has 5 authors:Reviewed by ScreenIT
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Trends and prediction in daily incidence of novel coronavirus infection in China, Hubei Province and Wuhan City: an application of Farr’s law
This article has 5 authors:Reviewed by ScreenIT
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Effects of Diabetes and Blood Glucose on COVID-19 Mortality: A Retrospective Observational Study
This article has 12 authors:Reviewed by ScreenIT
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Patterns of SARS-CoV-2 Testing Preferences in a National Cohort in the United States: Latent Class Analysis of a Discrete Choice Experiment
This article has 15 authors:Reviewed by ScreenIT
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Network graph representation of COVID-19 scientific publications to aid knowledge discovery
This article has 7 authors:Reviewed by ScreenIT
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Predicting patients with false negative SARS-CoV-2 testing at hospital admission: A retrospective multi-center study
This article has 8 authors:Reviewed by ScreenIT
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The total number and mass of SARS-CoV-2 virions
This article has 7 authors:Reviewed by ScreenIT
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Using Constrained Optimization for the Allocation of COVID-19 Vaccines in the Philippines
This article has 9 authors:Reviewed by ScreenIT
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Plasma from patients with bacterial sepsis or severe COVID-19 induces suppressive myeloid cell production from hematopoietic progenitors in vitro
This article has 18 authors:Reviewed by ScreenIT
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COVID-19 in schools: Mitigating classroom clusters in the context of variable transmission
This article has 2 authors:Reviewed by ScreenIT