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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SARS-CoV-2 infection, neuropathogenesis and transmission among deer mice: Implications for spillback to New World rodents
This article has 16 authors:Reviewed by ScreenIT
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Clinical outcomes of COVID-19 following the use of angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers among patients with hypertension in Korea: a nationwide study
This article has 6 authors:Reviewed by ScreenIT
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A Working Model to Inform Risk-Based Back to Work Strategies
This article has 9 authors:Reviewed by ScreenIT
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Early Surveillance and Public Health Emergency Responses Between Novel Coronavirus Disease 2019 and Avian Influenza in China: A Case-Comparison Study
This article has 6 authors:Reviewed by ScreenIT
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Recovery strategies following COVID-19 disruption to cervical cancer screening and their impact on excess diagnoses
This article has 4 authors:Reviewed by ScreenIT
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Confronting COVID-19: Surging critical care capacity in Italy
This article has 5 authors:Reviewed by ScreenIT
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Remdesivir–ivermectin combination displays synergistic interaction with improved in vitro activity against SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT
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Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas
This article has 14 authors:Reviewed by ScreenIT
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Genetic risk factors for death with SARS-CoV-2 from the UK Biobank
This article has 4 authors:Reviewed by ScreenIT
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Cathepsin L plays a key role in SARS-CoV-2 infection in humans and humanized mice and is a promising target for new drug development
This article has 11 authors:Reviewed by ScreenIT