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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A bacterial extracellular vesicle‐based intranasal vaccine against SARS‐CoV‐2 protects against disease and elicits neutralizing antibodies to wild‐type and Delta variants
This article has 25 authors:Reviewed by ScreenIT
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Meta-analytic evidence of depression and anxiety in Eastern Europe during the COVID-19 pandemic
This article has 12 authors:Reviewed by ScreenIT
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MONITORING SARS-COV-2 TRANSMISSION AND PREVALENCE IN POPULATIONS UNDER REPEATED TESTING
This article has 6 authors:Reviewed by ScreenIT
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Increased LPS levels coexist with systemic inflammation and result in monocyte activation in severe COVID-19 patients
This article has 16 authors:Reviewed by ScreenIT
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Comparative performance of between-population vaccine allocation strategies with applications for emerging pandemics
This article has 5 authors:Reviewed by ScreenIT
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Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
This article has 8 authors:Reviewed by ScreenIT
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Myeloid cell interferon responses correlate with clearance of SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT
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Genetic diversity and evolution of SARS-CoV-2 in Belgium during the first wave outbreak
This article has 12 authors:Reviewed by ScreenIT
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Expert Opinion on COVID-19 Vaccination and the Use of Cladribine Tablets in Clinical Practice
This article has 11 authors:Reviewed by ScreenIT
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Safe in my heart: resting heart rate variability longitudinally predicts emotion regulation, worry, and sense of safeness during COVID-19 lockdown
This article has 6 authors:Reviewed by ScreenIT