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 SARS-CoV-2 mini-genome assay based on negative-sense RNA to study replication inhibitors and emerging mutations
This article has 5 authors:Reviewed by ScreenIT
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Population disruption: estimating changes in population distribution of the UK during the COVID-19 pandemic
This article has 9 authors:Reviewed by ScreenIT
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A robust high-throughput fluorescent polarization assay for the evaluation and screening of SARS-CoV-2 fusion inhibitors
This article has 5 authors:Reviewed by ScreenIT
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Genomic epidemiology of SARS-CoV-2 under an elimination strategy in Hong Kong
This article has 23 authors:Reviewed by ScreenIT
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Long-Term Course of Humoral and Cellular Immune Responses in Outpatients After SARS-CoV-2 Infection
This article has 9 authors:Reviewed by ScreenIT
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Plasma Gradient of Soluble Urokinase-Type Plasminogen Activator Receptor Is Linked to Pathogenic Plasma Proteome and Immune Transcriptome and Stratifies Outcomes in Severe COVID-19
This article has 26 authors:Reviewed by ScreenIT
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Efficacy of Proxalutamide in Hospitalized COVID-19 Patients: A Randomized, Double-Blind, Placebo-Controlled, Parallel-Design Clinical Trial
This article has 30 authors:Reviewed by ScreenIT
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Differences in IgG Antibody Responses following BNT162b2 and mRNA-1273 SARS-CoV-2 Vaccines
This article has 10 authors:Reviewed by ScreenIT
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Data-driven prediction of COVID-19 cases in Germany for decision making
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2-triggered mast cell rapid degranulation induces alveolar epithelial inflammation and lung injury
This article has 16 authors:Reviewed by ScreenIT