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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Initial Simulation of SARS-CoV2 Spread and Intervention Effects in the Continental US
This article has 2 authors:Reviewed by ScreenIT
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Estimate of airborne transmission of SARS-CoV-2 using real time tracking of health care workers
This article has 6 authors:Reviewed by ScreenIT
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Pan-African evolution of within- and between-country COVID-19 dynamics
This article has 19 authors:Reviewed by ScreenIT
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Tracking the Covid-19 pandemic : Simple visualization of the epidemic states and trajectories of select European countries & assessing the effects of delays in official response
This article has 3 authors:Reviewed by ScreenIT
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Heterogeneous contact networks in COVID-19 spreading: the role of social deprivation
This article has 2 authors:Reviewed by ScreenIT
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Safety and immunogenicity of SARS-CoV-2 recombinant protein vaccine formulations in healthy adults: interim results of a randomised, placebo-controlled, phase 1–2, dose-ranging study
This article has 22 authors:Reviewed by ScreenIT
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Acute Pulmonary Embolism in Critically Ill Patients with COVID-19
This article has 9 authors:Reviewed by ScreenIT
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Estimation of a state of Corona 19 epidemic in August 2020 by multistage logistic model: a case of EU, USA, and World
This article has 1 author:Reviewed by ScreenIT
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Evaluating clinical characteristics studies produced early in the Covid-19 pandemic: A systematic review
This article has 12 authors:Reviewed by ScreenIT
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Standardization and Age-Distribution of COVID-19: Implications for Variability in Case Fatality and Outbreak Identification
This article has 3 authors:Reviewed by ScreenIT