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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Using different epidemiological models to modeling the epidemic dynamics in Brazil
This article has 5 authors:Reviewed by ScreenIT
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Performance Characteristics of the Abbott Architect SARS-CoV-2 IgG Assay and Seroprevalence in Boise, Idaho
This article has 9 authors:Reviewed by ScreenIT
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Identification of Drugs Blocking SARS-CoV-2 Infection using Human Pluripotent Stem Cell-derived Colonic Organoids
This article has 19 authors:Reviewed by ScreenIT
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Inflammatory markers in Covid-19 Patients: a systematic review and meta-analysis
This article has 7 authors:Reviewed by ScreenIT
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Modifiable and non-modifiable risk factors for COVID-19, and comparison to risk factors for influenza and pneumonia: results from a UK Biobank prospective cohort study
This article has 13 authors:Reviewed by ScreenIT
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How and When to End the COVID-19 Lockdown: An Optimization Approach
This article has 5 authors:Reviewed by ScreenIT
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Excess mortality during COVID-19 in five European countries and a critique of mortality data analysis
This article has 4 authors:Reviewed by ScreenIT
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Hydroxychloroquine is associated with slower viral clearance in clinical COVID-19 patients with mild to moderate disease
This article has 8 authors:Reviewed by ScreenIT
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Comprehensive characterization of N- and O- glycosylation of SARS-CoV-2 human receptor angiotensin converting enzyme 2
This article has 6 authors:Reviewed by ScreenIT
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Using Supervised Machine Learning and Empirical Bayesian Kriging to reveal Correlates and Patterns of COVID-19 Disease outbreak in sub-Saharan Africa: Exploratory Data Analysis
This article has 10 authors:Reviewed by ScreenIT