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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Pre-exposure hydroxychloroquine prophylaxis for COVID-19 in healthcare workers: a retrospective cohort
This article has 7 authors:Reviewed by ScreenIT
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Seroprevalence of anti‐SARS‐CoV‐2 antibodies in COVID‐19 patients and healthy volunteers up to 6 months post disease onset
This article has 21 authors:Reviewed by ScreenIT
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Sterilizing immunity against SARS-CoV-2 in hamsters conferred by a novel recombinant subunit vaccine
This article has 36 authors:Reviewed by ScreenIT
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Decontaminating N95 respirators during the COVID-19 pandemic: simple and practical approaches to increase decontamination capacity, speed, safety and ease of use
This article has 12 authors:Reviewed by ScreenIT
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Diagnostic accuracy of subjective dyspnoea in detecting hypoxaemia among outpatients with COVID-19: a retrospective cohort study
This article has 12 authors:Reviewed by ScreenIT
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A SARS-CoV-2 neutralizing antibody selected from COVID-19 patients binds to the ACE2-RBD interface and is tolerant to most known RBD mutations
This article has 41 authors:Reviewed by ScreenIT
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mRNA vaccine CVnCoV protects non-human primates from SARS-CoV-2 challenge infection
This article has 19 authors:Reviewed by ScreenIT
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Descriptive epidemiology of SARS-CoV-2 infection in Karnataka state, South India: Transmission dynamics of symptomatic vs. asymptomatic infections
This article has 9 authors:Reviewed by ScreenIT
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A score-based risk model for predicting severe COVID-19 infection as a key component of lockdown exit strategy
This article has 6 authors:Reviewed by ScreenIT
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Overdispersion in COVID-19 increases the effectiveness of limiting nonrepetitive contacts for transmission control
This article has 4 authors:Reviewed by ScreenIT