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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How many relevant SARS-CoV-2 variants might we expect in the future?
This article has 2 authors:Reviewed by ScreenIT
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Characterization of the Immune Resistance of Severe Acute Respiratory Syndrome Coronavirus 2 Mu Variant and the Robust Immunity Induced by Mu Infection
This article has 72 authors:Reviewed by ScreenIT
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SARS-CoV-2 Within-Host and in vitro Genomic Variability and Sub-Genomic RNA Levels Indicate Differences in Viral Expression Between Clinical Cohorts and in vitro Culture
This article has 10 authors:Reviewed by ScreenIT
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Very high relative seroprevalence of anti-SARS-CoV-2 antibodies among communities in Bangui, Central African Republic
This article has 15 authors:Reviewed by ScreenIT
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The experiences of 33 national COVID-19 dashboard teams during the first year of the pandemic in the World Health Organization European Region: A qualitative study
This article has 18 authors:Reviewed by ScreenIT
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Investigating SARS-CoV-2 breakthrough infections per variant and vaccine type
This article has 8 authors:Reviewed by ScreenIT
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Serum SARS-CoV-2 Antigens for the Determination of COVID-19 Severity
This article has 11 authors:Reviewed by ScreenIT
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Coronavirus Resistance Database (CoV-RDB): SARS-CoV-2 susceptibility to monoclonal antibodies, convalescent plasma, and plasma from vaccinated persons
This article has 4 authors:Reviewed by ScreenIT
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Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America
This article has 12 authors:Reviewed by ScreenIT
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Effectiveness of BNT162b2 and ChAdOx1 against SARS-CoV-2 household transmission: a prospective cohort study in England
This article has 12 authors:Reviewed by ScreenIT