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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Molecular Dynamics Analysis of Fast-Spreading Severe Acute Respiratory Syndrome Coronavirus 2 Variants and Their Effects on the Interaction with Human Angiotensin-Converting Enzyme 2
This article has 15 authors:Reviewed by ScreenIT
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NHS CHECK: protocol for a cohort study investigating the psychosocial impact of the COVID-19 pandemic on healthcare workers
This article has 19 authors:Reviewed by ScreenIT
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MMMVI: Detecting SARS-CoV-2 Variants of Concern in Metagenomic Wastewater Samples
This article has 4 authors:Reviewed by ScreenIT
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Investigating the intention to receive the COVID-19 vaccination in Macao: implications for vaccination strategies
This article has 4 authors:Reviewed by ScreenIT
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Changes to household income in a Kenyan informal settlement during COVID-19
This article has 7 authors:Reviewed by ScreenIT
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Systematic review and meta-analysis of the prevalence of coronavirus: One health approach for a global strategy
This article has 6 authors:Reviewed by ScreenIT
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Electoral processes and COVID-19 infections in Japan
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 nucleocapsid protein adheres to replication organelles before viral assembly at the Golgi/ERGIC and lysosome-mediated egress
This article has 16 authors:Reviewed by ScreenIT
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Proinflammatory Responses in SARS-CoV-2 and Soluble Spike Glycoprotein S1 Subunit Activated Human Macrophages
This article has 5 authors:Reviewed by ScreenIT
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A Severe Acute Respiratory Syndrome Coronavirus 2 detection method based on nasal and nasopharyngeal lavage fluid: A pilot feasibility study
This article has 10 authors:Reviewed by ScreenIT