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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Comprehensive annotations of the mutational spectra of SARS‐CoV‐2 spike protein: a fast and accurate pipeline
This article has 10 authors:Reviewed by ScreenIT
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Ivermectin repurposing for COVID-19 therapy: Safety and pharmacokinetic assessment of a novel nasal spray formulation in a pig model
This article has 15 authors:Reviewed by ScreenIT
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Effectiveness of Ivermectin as add-on Therapy in COVID-19 Management (Pilot Trial)
This article has 9 authors:Reviewed by ScreenIT
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Delirium and neuropsychological outcomes in critically Ill patients with COVID-19: a cohort study
This article has 10 authors:Reviewed by ScreenIT
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Spatio-temporal dynamics of intra-host variability in SARS-CoV-2 genomes
This article has 27 authors:Reviewed by ScreenIT
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Relationship between nursing home COVID-19 outbreaks and staff neighborhood characteristics
This article has 1 author:Reviewed by ScreenIT
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SARS-CoV-2 infection dynamics in Denmark, February through October 2020: Nature of the past epidemic and how it may develop in the future
This article has 3 authors:Reviewed by ScreenIT
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SARS-CoV-2 Seropositivity and Seroconversion in Patients Undergoing Active Cancer-Directed Therapy
This article has 42 authors:Reviewed by ScreenIT
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The Clinical Course of COVID-19 in the Outpatient Setting: A Prospective Cohort Study
This article has 47 authors:Reviewed by ScreenIT
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Development and performance evaluation of a rapid in-house ELISA for retrospective serosurveillance of SARS-CoV-2
This article has 11 authors:Reviewed by ScreenIT