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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Hybrid-Quantum approach for the optimal lockdown to stop the SARS-CoV-2 community spread subject to maximizing nation economy globally
This article has 5 authors:Reviewed by ScreenIT
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Cytoplasmic Tail Truncation of SARS-CoV-2 Spike Protein Enhances Titer of Pseudotyped Vectors but Masks the Effect of the D614G Mutation
This article has 11 authors:Reviewed by ScreenIT
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Proposal of a population wide genome-based testing for Covid-19
This article has 8 authors:Reviewed by ScreenIT
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A random priming amplification method for whole genome sequencing of SARS-CoV-2 and H1N1 influenza A virus
This article has 6 authors:Reviewed by ScreenIT
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Binding of phosphatidylserine‐positive microparticles by PBMCs classifies disease severity in COVID‐19 patients
This article has 17 authors:Reviewed by ScreenIT
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Changes in mobility pre and post first SARS-CoV-2 vaccination: findings from a prospective community cohort study including GPS movement tracking in England and Wales (Virus Watch)
This article has 20 authors:Reviewed by ScreenIT
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A Bifluorescent-Based Assay for the Identification of Neutralizing Antibodies against SARS-CoV-2 Variants of Concern In Vitro and In Vivo
This article has 15 authors:Reviewed by ScreenIT
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Rapid, adaptable and sensitive Cas13-based COVID-19 diagnostics using ADESSO
This article has 18 authors:Reviewed by ScreenIT
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Correlates of protection against symptomatic and asymptomatic SARS-CoV-2 infection
This article has 22 authors:Reviewed by ScreenIT
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Rapid determination of the wide dynamic range of SARS-CoV-2 Spike T cell responses in whole blood of vaccinated and naturally infected
This article has 18 authors:Reviewed by ScreenIT