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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Drug repositioning candidates identified using in-silico quasi-quantum molecular simulation demonstrate reduced COVID-19 mortality in 1.5M patient records
This article has 11 authors:Reviewed by ScreenIT
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Effect of anakinra on mortality in patients with COVID-19: a systematic review and patient-level meta-analysis
This article has 141 authors:Reviewed by ScreenIT
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What Specimen Urologists Should Be Most Concerned About ? A Systematic Review and Meta-Analysis
This article has 10 authors:Reviewed by ScreenIT
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Type-I interferon signatures in SARS-CoV-2 infected Huh7 cells
This article has 11 authors:Reviewed by ScreenIT
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Allosteric Cross-Talk among Spike’s Receptor-Binding Domain Mutations of the SARS-CoV-2 South African Variant Triggers an Effective Hijacking of Human Cell Receptor
This article has 4 authors:Reviewed by ScreenIT
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Seroprevalence of SARS-CoV-2 antibodies in broadcast media workers
This article has 11 authors:Reviewed by ScreenIT
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Monitoring the opioid epidemic via social media discussions
This article has 9 authors:Reviewed by ScreenIT
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Placental expression of ACE2 and TMPRSS2 in maternal SARS-CoV-2 infection: are placental defenses mediated by fetal sex?
This article has 16 authors:Reviewed by ScreenIT
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Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan
This article has 10 authors:Reviewed by ScreenIT
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Long lockdowns and rainy days: Modeling the interactive roles of weather, behavior, and restrictions in COVID-19 transmission in the Netherlands
This article has 2 authors:Reviewed by ScreenIT