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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Prospective Evaluation of Coronavirus Disease 2019 (COVID-19) Vaccine Responses Across a Broad Spectrum of Immunocompromising Conditions: the COVID-19 Vaccination in the Immunocompromised Study (COVICS)
This article has 42 authors:Reviewed by ScreenIT
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The evolution of young people’s mental health during COVID-19 and the role of food insecurity: Evidence from a four low-and-middle-income-country cohort study
This article has 5 authors:Reviewed by ScreenIT
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A phase 1/2 randomized, double-blinded, placebo controlled ascending dose trial to assess the safety, tolerability and immunogenicity of ARCT-021 in healthy adults
This article has 21 authors:Reviewed by ScreenIT
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Are there medium to short-term multifaceted effects of the airborne pollutant PM2.5 determining the emergence of SARS-CoV-2 variants?
This article has 1 author:Reviewed by ScreenIT
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Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples
This article has 15 authors:Reviewed by ScreenIT
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Post COVID-19 sequelae: A prospective observational study from Northern India
This article has 28 authors:Reviewed by ScreenIT
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Differential neutralizing antibody responses elicited by CoronaVac and BNT162b2 against SARS-CoV-2 Lambda in Chile
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Dimeric IgA is a specific biomarker of recent SARS-CoV-2 infection
This article has 18 authors:Reviewed by ScreenIT
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Relating In Vitro Neutralization Level and Protection in the CVnCoV (CUREVAC) Trial
This article has 6 authors:Reviewed by ScreenIT
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The health impacts of a 4-month long community-wide COVID-19 lockdown: Findings from a prospective longitudinal study in the state of Victoria, Australia
This article has 6 authors:Reviewed by ScreenIT