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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Subjective mental health and need for care among psychiatric outpatients during the COVID-19 pandemic: Results from an outreach initiative in Sweden
This article has 8 authors:Reviewed by ScreenIT
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COVID-19 dynamics considering the influence of hospital infrastructure: an investigation into Brazilian scenarios
This article has 3 authors:Reviewed by ScreenIT
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Analysis of external quality assessment samples revealed crucial performance differences between commercial RT-PCR assays for SARS-CoV-2 detection when taking extraction methods and real-time-PCR instruments into account
This article has 4 authors:Reviewed by ScreenIT
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Systematic review and meta-analysis of randomized trials of hydroxychloroquine for the prevention of COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Modeling COVID-19 scenarios for the United States
This article has 91 authors:Reviewed by ScreenIT
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Effect of different resumption strategies to flatten the potential COVID-19 outbreaks amid society reopens: a modeling study in China
This article has 8 authors:Reviewed by ScreenIT
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Antibody reactivity against SARS-CoV-2 in adults from the Vancouver metropolitan area, Canada
This article has 15 authors:Reviewed by ScreenIT
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Exponential increase in neutralizing and spike specific antibodies following vaccination of COVID ‐19 convalescent plasma donors
This article has 13 authors:Reviewed by ScreenIT
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Protocol for a Nationwide Internet-based Health Survey of Workers During the COVID-19 Pandemic in 2020
This article has 8 authors:Reviewed by ScreenIT
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Safety and Outcomes Associated with the Pharmacological Inhibition of the Kinin–Kallikrein System in Severe COVID-19
This article has 20 authors:Reviewed by ScreenIT