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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Characteristics associated with COVID-19 vaccine uptake among adults aged 50 years and above in England (8 December 2020–17 May 2021): a population-level observational study
This article has 17 authors:Reviewed by ScreenIT
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SARS‐CoV‐2 infection activates dendritic cells via cytosolic receptors rather than extracellular TLRs
This article has 11 authors:Reviewed by ScreenIT
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Wildlife in Cameroon harbor diverse coronaviruses, including many closely related to human coronavirus 229E
This article has 20 authors:Reviewed by ScreenIT
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Genomic evidence for divergent co-infections of SARS-CoV-2 lineages
This article has 10 authors:Reviewed by ScreenIT
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A third dose of inactivated vaccine augments the potency, breadth, and duration of anamnestic responses against SARS-CoV-2
This article has 34 authors:Reviewed by ScreenIT
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The pitfalls of inferring virus–virus interactions from co-detection prevalence data: application to influenza and SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Ideology, policy decision-making and environmental impact in the face of the Coronavirus pandemic in the US
This article has 5 authors:Reviewed by ScreenIT
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Comparative quantitative analysis of SARS- CoV-2 Spike neutralizing antibody titers following two anti COVID-19 vaccines in India
This article has 2 authors:Reviewed by ScreenIT
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Expected Rates of Select Adverse Events After Immunization for Coronavirus Disease 2019 Vaccine Safety Monitoring
This article has 7 authors:Reviewed by ScreenIT
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Network analysis outlines strengths and weaknesses of emerging SARS-CoV-2 Spike variants
This article has 6 authors:Reviewed by ScreenIT