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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Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada
This article has 3 authors:Reviewed by ScreenIT
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Elucidating Design Principles for Engineering Cell‐Derived Vesicles to Inhibit SARS‐CoV‐2 Infection
This article has 5 authors:Reviewed by ScreenIT
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Engineering RNA viruses with unnatural amino acid to evoke adjustable immune response in mice
This article has 8 authors:Reviewed by ScreenIT
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An ACE2-dependent Sarbecovirus in Russian bats is resistant to SARS-CoV-2 vaccines
This article has 8 authors:Reviewed by ScreenIT
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Omicron: A Heavily Mutated SARS-CoV-2 Variant Exhibits Stronger Binding to ACE2 and Potently Escapes Approved COVID-19 Therapeutic Antibodies
This article has 2 authors:Reviewed by ScreenIT
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A zebrafish model of COVID-19-associated cytokine storm syndrome reveals differential proinflammatory activities of Spike proteins of SARS-CoV-2 variants of concern
This article has 9 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection of olfactory epithelial cells and neurons drives acute lung injury and lethal COVID-19 in mice
This article has 22 authors:Reviewed by ScreenIT
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COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
This article has 49 authors:Reviewed by ScreenIT
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Proactive vs. reactive country responses to the COVID19 pandemic shock
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 vaccine booster dose needed to achieve Omicron-specific neutralisation in nursing home residents
This article has 17 authors:Reviewed by ScreenIT