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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Diagnostic technology for COVID-19: comparative evaluation of antigen and serology-based SARS-CoV-2 immunoassays, and contact tracing solutions for potential use as at-home products
This article has 10 authors:Reviewed by ScreenIT
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Efficacy and Safety of Remdesivir for COVID-19 Treatment: An Analysis of Randomized, Double-Blind, Placebo-Controlled Trials
This article has 11 authors:Reviewed by ScreenIT
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Detected SARS-CoV-2 in Ascitic Fluid Followed by Cryptococcemia: a Case Report
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 seroprevalence in the municipality of São Paulo, Brazil, ten weeks after the first reported case
This article has 7 authors:Reviewed by ScreenIT
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Combination of Antibody based rapid diagnostic tests used in an algorithm may improve their performance in SARS CoV-2 diagnosis
This article has 11 authors:Reviewed by ScreenIT
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Genomic Epidemiology of Severe Acute Respiratory Syndrome Coronavirus 2, Colombia
This article has 17 authors:Reviewed by ScreenIT
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The therapeutic effectiveness of Convalescent plasma therapy on treating COVID-19 patients residing in respiratory care units in Baghdad, Iraq
This article has 7 authors:Reviewed by ScreenIT
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Macrophage expression and prognostic significance of the long pentraxin PTX3 in COVID-19
This article has 29 authors:Reviewed by ScreenIT
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Sex, age, and hospitalization drive antibody responses in a COVID-19 convalescent plasma donor population
This article has 23 authors:Reviewed by ScreenIT
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Assessing the nationwide impact of COVID-19 mitigation policies on the transmission rate of SARS-CoV-2 in Brazil
This article has 14 authors:Reviewed by ScreenIT