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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The course of COVID-19 in patients with chronic spontaneous urticaria receiving omalizumab treatment
This article has 2 authors:Reviewed by ScreenIT
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Nucleocapsid and spike antibody responses following virologically confirmed SARS-CoV-2 infection: an observational analysis in the Virus Watch community cohort
This article has 31 authors:Reviewed by ScreenIT
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Assessing functional connectivity differences and work-related fatigue in surviving COVID-negative patients
This article has 8 authors:Reviewed by ScreenIT
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The clinical impact of maternal COVID-19 on mothers, their infants, and placentas with an analysis of vertical transfer of maternal SARS-CoV-2-specific IgG antibodies
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 Antibody Seroprevalence in Patients With Cancer on Systemic Antineoplastic Treatment in the First Wave of the COVID-19 Pandemic in Portugal
This article has 12 authors:Reviewed by ScreenIT
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Ethiopian Healthcare Workers’ Experiences During the COVID-19 Pandemic
This article has 8 authors:Reviewed by ScreenIT
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Using Unassigned NMR Chemical Shifts to Model RNA Secondary Structure
This article has 3 authors:Reviewed by ScreenIT
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Human cardiac organoids to model COVID‐19 cytokine storm induced cardiac injuries
This article has 12 authors:Reviewed by ScreenIT
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An outbreak of SARS-CoV-2 in a public-facing office in England, 2021
This article has 14 authors:Reviewed by ScreenIT
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Detection of prevalent SARS-CoV-2 variant lineages in wastewater and clinical sequences from cities in Québec, Canada
This article has 31 authors:Reviewed by ScreenIT