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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Unravelling the link between sleep and mental health during the COVID‐19 pandemic
This article has 7 authors:Reviewed by ScreenIT
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Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 2
This article has 9 authors:Reviewed by ScreenIT
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Cross-talk between red blood cells and plasma influences blood flow and omics phenotypes in severe COVID-19
This article has 12 authors:This article has been curated by 1 group: -
SARS-CoV-2 Omicron is specifically restricted in its replication in human lung tissue, compared to other variants of concern
This article has 17 authors:Reviewed by ScreenIT
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Size of societal volunteering predicts COVID-19 mortality
This article has 4 authors:Reviewed by ScreenIT
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Changing characteristics over time of individuals receiving COVID-19 vaccines in Denmark: A population-based descriptive study of vaccine uptake
This article has 13 authors:Reviewed by ScreenIT
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Predicting the time course of replacements of SARS-CoV-2 variants using relative reproduction numbers
This article has 2 authors:Reviewed by ScreenIT
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Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation
This article has 5 authors:This article has been curated by 1 group: -
Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates
This article has 7 authors:Reviewed by ScreenIT
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Global reports of myocarditis following COVID-19 vaccination: A systematic review and meta-analysis
This article has 7 authors:Reviewed by ScreenIT