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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Point-of-care testing for COVID-19 using SHERLOCK diagnostics
This article has 15 authors:Reviewed by ScreenIT
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Effects of home confinement on mental health and lifestyle behaviours during the COVID-19 outbreak: Insight from the ECLB-COVID19 multicenter study
This article has 68 authors:Reviewed by ScreenIT
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COVID-19 is rapidly changing: Examining public perceptions and behaviors in response to this evolving pandemic
This article has 8 authors:Reviewed by ScreenIT
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Assessing differential impacts of COVID-19 on black communities
This article has 12 authors:Reviewed by ScreenIT
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Assessing COVID-19 risk, vulnerability and infection prevalence in communities
This article has 3 authors:Reviewed by ScreenIT
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Psychological consequences of COVID-19 home confinement: The ECLB-COVID19 multicenter study
This article has 67 authors:Reviewed by ScreenIT
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The prevalence of common and stress-related mental health disorders in healthcare workers based in pandemic-affected hospitals: a rapid systematic review and meta-analysis
This article has 8 authors:Reviewed by ScreenIT
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Estimative of real number of infections by COVID-19 on Brazil and possible scenarios
This article has 2 authors:Reviewed by ScreenIT
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Filling the gaps in the characterization of the clinical management of COVID-19: 30-day hospital admission and fatality rates in a cohort of 118 150 cases diagnosed in outpatient settings in Spain
This article has 12 authors:Reviewed by ScreenIT
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Assessment of Chloroquine and Hydroxychloroquine Safety Profiles: A Systematic Review and Meta-Analysis
This article has 6 authors:Reviewed by ScreenIT