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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Global COVID-19 fatality analysis reveals Hubei-like countries potentially with severe outbreaks
This article has 5 authors:Reviewed by ScreenIT
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Impact of the COVID-19 pandemic on suicide and self-harm among patients presenting to the emergency department of a teaching hospital in Nepal
This article has 4 authors:Reviewed by ScreenIT
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The Efficacy and Safety of Hydroxychloroquine in Patients with COVID-19: A Multicenter National Retrospective Cohort
This article has 9 authors:Reviewed by ScreenIT
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Estimating critical care capacity needs and gaps in Africa during the COVID-19 pandemic
This article has 4 authors: -
Imprecise assessment of mask use may obscure associations with SARS-CoV-2 positivity
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 in severe COVID-19 induces a TGF-β-dominated chronic immune response that does not target itself
This article has 42 authors:Reviewed by ScreenIT
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A delayed SEIQR epidemic model of COVID-19 in Tokyo
This article has 1 author:Reviewed by ScreenIT
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Extraction of Viral Nucleic Acids with Carbon Nanotubes Increases SARS-CoV-2 Quantitative Reverse Transcription Polymerase Chain Reaction Detection Sensitivity
This article has 7 authors:Reviewed by ScreenIT
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Epidemiological dynamics of the incidence of COVID-19 in children and the relationship with the opening of schools in Catalonia (Spain)
This article has 22 authors:Reviewed by ScreenIT
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Repeated Coronavirus Disease 2019 Molecular Testing: Correlation of Severe Acute Respiratory Syndrome Coronavirus 2 Culture With Molecular Assays and Cycle Thresholds
This article has 15 authors:Reviewed by ScreenIT