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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Deactivation of SARS-CoV-2 surrogate porcine epidemic diarrhea virus with electron beam irradiation under the cold chain transportation condition
This article has 7 authors:Reviewed by ScreenIT
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CD19 B cell repopulation after ocrelizumab, alemtuzumab and cladribine: Implications for SARS-CoV-2 vaccinations in multiple sclerosis
This article has 6 authors:Reviewed by ScreenIT
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Non-invasive Vagus Nerve Stimulation for COVID-19: Results From a Randomized Controlled Trial (SAVIOR I)
This article has 12 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Prevalence of SARS-CoV-2 infection among people experiencing homelessness in Toronto during the first wave of the COVID-19 pandemic
This article has 19 authors:Reviewed by ScreenIT
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Descriptive characteristics of continuous oximetry measurement in moderate to severe covid-19 patients
This article has 7 authors:Reviewed by ScreenIT
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Cross-sectional assessment of predictors for COVID-19 vaccine uptake: an online survey in Greece
This article has 7 authors:Reviewed by ScreenIT
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Antibody titers against the Alpha, Beta, Gamma, and Delta variants of SARS-CoV-2 induced by BNT162b2 vaccination measured using automated chemiluminescent enzyme immunoassay
This article has 10 authors:Reviewed by ScreenIT
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Impact of vaccine hesitancy on secondary COVID-19 outbreaks in the US: an age-structured SIR model
This article has 3 authors:Reviewed by ScreenIT
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The Impact of New SARS-CoV-2 Variants on Vaccine Breakthrough: A Pilot Study on Spreading Infection in the Communities
This article has 9 authors:Reviewed by ScreenIT
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Prediction of long-term kinetics of vaccine-elicited neutralizing antibody and time-varying vaccine-specific efficacy against the SARS-CoV-2 Delta variant by clinical endpoint
This article has 11 authors:Reviewed by ScreenIT