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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Inflammasomes are activated in response to SARS-CoV-2 infection and are associated with COVID-19 severity in patients
This article has 44 authors:Reviewed by ScreenIT
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Early Phases of COVID-19 Are Characterized by a Reduction in Lymphocyte Populations and the Presence of Atypical Monocytes
This article has 19 authors:Reviewed by ScreenIT
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An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China
This article has 21 authors:Reviewed by ScreenIT
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Evaluation of a SARS-CoV-2 rapid antigen test: Potential to help reduce community spread?
This article has 7 authors:Reviewed by ScreenIT
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The impact of keeping a religious beard in the COVID-19 pandemic: an online cross-sectional survey study exploring experiences of male medical healthcare professionals
This article has 9 authors:Reviewed by ScreenIT
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Bringing accountability to the peak of the pandemic using linear response theory
This article has 1 author:Reviewed by ScreenIT
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Reconstructing the early global dynamics of under-ascertained COVID-19 cases and infections
This article has 53 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection suppresses ACE2 function and antiviral immune response in the upper respiratory tract of infected patients
This article has 17 authors:Reviewed by ScreenIT
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Relation of Doubling Time and Reproduction Number with Testing Rate for Corona Infections in India
This article has 2 authors:Reviewed by ScreenIT
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Correlation between prevalence of tobacco smoking and risk and severity of COVID-19 at the national level in the European Union: an ecological study
This article has 2 authors:Reviewed by ScreenIT