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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Disentangling the effect of measures, variants, and vaccines on SARS-CoV-2 infections in England: a dynamic intensity model
This article has 3 authors:Reviewed by ScreenIT
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Milder disease trajectory among COVID-19 patients hospitalised with the SARS-CoV-2 Omicron variant compared with the Delta variant in Norway
This article has 11 authors:Reviewed by ScreenIT
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Prevention of SARS-CoV-2 airborne transmission in a workplace based on CO2 sensor network
This article has 6 authors:Reviewed by ScreenIT
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Different COVID-19 outcomes among systemic rheumatic diseases: a nation-wide cohort study
This article has 11 authors:Reviewed by ScreenIT
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Long COVID and its associated factors among COVID survivors in the community from a middle-income country—An online cross-sectional study
This article has 4 authors:Reviewed by ScreenIT
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Contribution of Trp63CreERT2-labeled cells to alveolar regeneration is independent of tuft cells
This article has 23 authors:This article has been curated by 1 group: -
Proinflammatory innate cytokines and metabolomic signatures shape the T cell response in active COVID-19
This article has 12 authors:Reviewed by ScreenIT
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Increased Receptor Affinity and Reduced Recognition by Specific Antibodies Contribute to Immune Escape of SARS-CoV-2 Variant Omicron
This article has 9 authors:Reviewed by ScreenIT
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Evidence for Telemedicine’s Ongoing Transformation of Health Care Delivery Since the Onset of COVID-19: Retrospective Observational Study
This article has 7 authors:Reviewed by ScreenIT
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Performance evaluation of a non-invasive one-step multiplex RT-qPCR assay for detection of SARS-CoV-2 direct from saliva
This article has 25 authors:Reviewed by ScreenIT