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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SARS-CoV-2 Omicron Variant: Exploring Healthcare Workers' Awareness and Perception of Vaccine Effectiveness: A National Survey During the First Week of WHO Variant Alert
This article has 24 authors:Reviewed by ScreenIT
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Neutralization capacity of antibodies elicited through homologous or heterologous infection or vaccination against SARS-CoV-2 VOCs
This article has 16 authors:Reviewed by ScreenIT
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Assessment of T-cell Reactivity to the SARS-CoV-2 Omicron Variant by Immunized Individuals
This article has 23 authors:Reviewed by ScreenIT
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Increased resistance of SARS-CoV-2 Omicron variant to neutralization by vaccine-elicited and therapeutic antibodies
This article has 9 authors:Reviewed by ScreenIT
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Tracking mutational semantics of SARS-CoV-2 genomes
This article has 4 authors:Reviewed by ScreenIT
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COVID-19 mRNA booster vaccines elicit strong protection against SARS-CoV-2 Omicron variant in patients with cancer
This article has 10 authors:Reviewed by ScreenIT
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Vaccine effectiveness against hospital admission in South African health care workers who received a homologous booster of Ad26.COV2 during an Omicron COVID19 wave: Preliminary Results of the Sisonke 2 Study
This article has 17 authors:Reviewed by ScreenIT
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A retrospective cohort study of the effect of SARS-CoV-2 point of care rapid RT-PCR at the Emergency Department on targeted admission
This article has 6 authors:Reviewed by ScreenIT
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Prediction of SARS-CoV-2 Omicron Variant Immunogenicity, Immune Escape and Pathogenicity, through the Analysis of Spike Protein-Specific Core Unique Peptides
This article has 4 authors:Reviewed by ScreenIT
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Structural and functional characterizations of altered infectivity and immune evasion of SARS-CoV-2 Omicron variant
This article has 23 authors:Reviewed by ScreenIT