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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A Simple Mathematical Tool to Help Distribute Doses of ‘Two-Dose’ Covid-19 Vaccines among Non-Immunized and Partly-Immunized Population
This article has 2 authors:Reviewed by ScreenIT
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Coronavirus Disease Case Definitions, Diagnostic Testing Criteria, and Surveillance in 25 Countries with Highest Reported Case Counts
This article has 6 authors:Reviewed by ScreenIT
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COVID-19 wastewater based epidemiology: long-term monitoring of 10 WWTP in France reveals the importance of the sampling context
This article has 8 authors:Reviewed by ScreenIT
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Immune responses to two and three doses of the BNT162b2 mRNA vaccine in adults with solid tumors
This article has 22 authors:Reviewed by ScreenIT
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Longer incubation periods of SARS-CoV-2 infection in infants than children
This article has 1 author:Reviewed by ScreenIT
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Interferon-armed RBD dimer enhances the immunogenicity of RBD for sterilizing immunity against SARS-CoV-2
This article has 26 authors:Reviewed by ScreenIT
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Cardiovascular vulnerability predicts hospitalisation in primary care clinically suspected and confirmed COVID-19 patients: A model development and validation study
This article has 7 authors:Reviewed by ScreenIT
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The Impact of Universal Transport Media and Viral Transport Media Liquid Samples on a SARS-CoV-2 Rapid Antigen Test
This article has 3 authors:Reviewed by ScreenIT
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The evaluation of a novel digital immunochromatographic assay with silver amplification to detect SARS-CoV-2
This article has 12 authors:Reviewed by ScreenIT
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Efficacy and Safety of Sarilumab in Hospitalized Patients With Coronavirus Disease 2019: A Randomized Clinical Trial
This article has 40 authors:Reviewed by ScreenIT