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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Whole blood immunophenotyping uncovers immature neutrophil-to-VD2 T-cell ratio as an early marker for severe COVID-19
This article has 24 authors:Reviewed by ScreenIT
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Differences in Antibody Kinetics and Functionality Between Severe and Mild Severe Acute Respiratory Syndrome Coronavirus 2 Infections
This article has 10 authors:Reviewed by ScreenIT
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Early administration of lopinavir/ritonavir plus hydroxychloroquine does not alter the clinical course of SARS‐CoV‐2 infection: A retrospective cohort study
This article has 20 authors:Reviewed by ScreenIT
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Point-of-care Lung Ultrasound Is Useful to Evaluate Emergency Department Patients for COVID-19
This article has 3 authors:Reviewed by ScreenIT
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Oscillations in U.S. COVID-19 Incidence and Mortality Data Reflect Diagnostic and Reporting Factors
This article has 4 authors:Reviewed by ScreenIT
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Clinical outcomes of SARS-CoV-2 pandemic in long-term care facilities for people with epilepsy: observational study
This article has 22 authors:Reviewed by ScreenIT
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Evaluation of sample pooling for screening of SARS CoV-2
This article has 11 authors:Reviewed by ScreenIT
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Hydroxychloroquine plus standard of care compared with standard of care alone in COVID-19: a meta-analysis of randomized controlled trials
This article has 3 authors:Reviewed by ScreenIT
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Prevalence and predictors of general psychiatric disorders and loneliness during COVID-19 in the United Kingdom
This article has 2 authors:Reviewed by ScreenIT
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COVID-19: Comparison between 8-days and extended 4weeks outbreak periods through socioeconomic and natural factors
This article has 14 authors:Reviewed by ScreenIT