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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Implementing SARS-CoV-2 Rapid Antigen Testing in the Emergency Ward of a Swiss University Hospital: The INCREASE Study
This article has 13 authors:Reviewed by ScreenIT
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C-reactive protein-guided use of procalcitonin in COVID-19
This article has 14 authors:Reviewed by ScreenIT
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Massive covidization of research citations and the citation elite
This article has 5 authors:Reviewed by ScreenIT
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Border closure and travel restrictions to control the spread of COVID-19: an update to a Cochrane review
This article has 5 authors:Reviewed by ScreenIT
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Projection of healthcare demand in Germany and Switzerland urged by Omicron wave (January–March 2022)
This article has 10 authors:Reviewed by ScreenIT
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Functional proteomic profiling links deficient DNA clearance with increased mortality in individuals with severe COVID-19 pneumonia
This article has 22 authors:Reviewed by ScreenIT
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Effects of vaccination against COVID-19 on the emotional health of Peruvian older adults
This article has 10 authors:Reviewed by ScreenIT
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Designing isolation guidelines for COVID-19 patients with rapid antigen tests
This article has 12 authors:Reviewed by ScreenIT
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Mitigating isolation: further comparing the effect of LFD testing for early release from self-isolation for COVID-19 cases
This article has 5 authors:Reviewed by ScreenIT
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Gasdermin-D activation by SARS-CoV-2 triggers NET and mediate COVID-19 immunopathology
This article has 46 authors:Reviewed by ScreenIT