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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Effect of human umbilical cord-derived mesenchymal stem cells on lung damage in severe COVID-19 patients: a randomized, double-blind, placebo-controlled phase 2 trial
This article has 33 authors:Reviewed by ScreenIT
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Circular RNA profiling reveals abundant and diverse circRNAs of SARS-CoV-2, SARS-CoV and MERS-CoV origin
This article has 11 authors:Reviewed by ScreenIT
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Comparison of Commercially Available and Laboratory-Developed Assays for In Vitro Detection of SARS-CoV-2 in Clinical Laboratories
This article has 6 authors:Reviewed by ScreenIT
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Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic
This article has 6 authors:Reviewed by ScreenIT
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Functional assessment of cell entry and receptor usage for SARS-CoV-2 and other lineage B betacoronaviruses
This article has 3 authors: -
Development and Validation of a Multiplex, Bead-based Assay to Detect Antibodies Directed Against SARS-CoV-2 Proteins
This article has 9 authors:Reviewed by ScreenIT
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The folate antagonist methotrexate diminishes replication of the coronavirus SARS-CoV-2 and enhances the antiviral efficacy of remdesivir in cell culture models
This article has 18 authors:Reviewed by ScreenIT
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Validation of a combined ELISA to detect IgG, IgA and IgM antibody responses to SARS-CoV-2 in mild or moderate non-hospitalised patients
This article has 19 authors:Reviewed by ScreenIT
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Quantifying bias of COVID-19 prevalence and severity estimates in Wuhan, China that depend on reported cases in international travelers
This article has 4 authors:Reviewed by ScreenIT
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The association between COVID-19 and preterm delivery: A cohort study with a multivariate analysis
This article has 2 authors:Reviewed by ScreenIT