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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Detection of SARS-CoV-2 RNA on public surfaces in a densely populated urban area of Brazil: A potential tool for monitoring the circulation of infected patients
This article has 24 authors:Reviewed by ScreenIT
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The spread of breathing air from wind instruments and singers using schlieren techniques
This article has 6 authors:Reviewed by ScreenIT
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Differences in detected viral loads guide use of SARS-CoV-2 antigen-detection assays towards symptomatic college students and children
This article has 16 authors:Reviewed by ScreenIT
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Population perspective comparing COVID-19 to all and common causes of death during the first wave of the pandemic in seven European countries
This article has 6 authors:Reviewed by ScreenIT
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Forcing Seasonality of Influenza-like Epidemics with Daily Solar Resonance
This article has 12 authors:Reviewed by ScreenIT
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The Hybrid Forecasting Method SVR-ESAR for Covid-19
This article has 6 authors:Reviewed by ScreenIT
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Effect of Hydroxychloroquine in Hospitalized Patients with Covid-19
This article has 1 author:Reviewed by ScreenIT
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Telehealth Applied to Deliver In-situ Behavioral Skills Training to Reduce Car Seat Misuse During the Covid-19 Pandemic
This article has 1 author:Reviewed by ScreenIT
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Clinical characteristics of children and young people admitted to hospital with covid-19 in United Kingdom: prospective multicentre observational cohort study
This article has 28 authors:Reviewed by ScreenIT
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Impact of COVID-19 on the outreach strategy of cancer social service agencies in Singapore: A pre-post analysis with Facebook data
This article has 3 authors:Reviewed by ScreenIT