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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Symptomatology, prognosis, and clinical findings of COVID 19 induced myocarditis: a systematic review
This article has 4 authors:Reviewed by ScreenIT
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Occupational inequalities in the prevalence of COVID-19: A longitudinal observational study of England, August 2020 to January 2021
This article has 2 authors:Reviewed by ScreenIT
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Affinity Tag Coating Enables Reliable Detection of Antigen-Specific B Cells in Immunospot Assays
This article has 9 authors:Reviewed by ScreenIT
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COVID-19 patient accounts of illness severity, treatments and lasting symptoms
This article has 3 authors:Reviewed by ScreenIT
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Analytical comparison of nine SARS-CoV-2 antigen-detecting rapid diagnostic tests for emerging SARS-CoV-2 variants
This article has 7 authors:Reviewed by ScreenIT
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Ten months of temporal variation in the clinical journey of hospitalised patients with COVID-19: An observational cohort
This article has 17 authors:Reviewed by ScreenIT
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Rapid and sustained decline in CXCL-10 (IP-10) annotates clinical outcomes following TNF-α antagonist therapy in hospitalized patients with severe and critical COVID-19 respiratory failure
This article has 12 authors:Reviewed by ScreenIT
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Function Is More Reliable than Quantity to Follow Up the Humoral Response to the Receptor-Binding Domain of SARS-CoV-2-Spike Protein after Natural Infection or COVID-19 Vaccination
This article has 15 authors:Reviewed by ScreenIT
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Regular testing of asymptomatic healthcare workers identifies cost-efficient SARS-CoV-2 preventive measures
This article has 17 authors:Reviewed by ScreenIT
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Virologic Features of Severe Acute Respiratory Syndrome Coronavirus 2 Infection in Children
This article has 14 authors:Reviewed by ScreenIT