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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Accuracy of deep learning-based computed tomography diagnostic system for COVID-19: A consecutive sampling external validation cohort study
This article has 14 authors:Reviewed by ScreenIT
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An expedited approach towards the rationale design of non-covalent SARS-CoV-2 main protease inhibitors with in vitro antiviral activity
This article has 15 authors:Reviewed by ScreenIT
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Impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates: estimates from the Bug Watch community cohort study
This article has 10 authors:Reviewed by ScreenIT
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TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
This article has 7 authors:Reviewed by ScreenIT
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Reinfection Rates Among Patients Who Previously Tested Positive for Coronavirus Disease 2019: A Retrospective Cohort Study
This article has 3 authors:Reviewed by ScreenIT
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Accuracy of four lateral flow immunoassays for anti SARS-CoV-2 antibodies: a head-to-head comparative study
This article has 15 authors:Reviewed by ScreenIT
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How do the general population behave with facemasks to prevent COVID-19 in the community? A multi-site observational study
This article has 7 authors:Reviewed by ScreenIT
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Quantifying heterogeneity in SARS-CoV-2 transmission during the lockdown in India
This article has 5 authors:Reviewed by ScreenIT
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Epidemiological characteristics of the COVID-19 spring outbreak in Quebec, Canada: a population-based study
This article has 7 authors:Reviewed by ScreenIT
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National Early Warning Score 2 and Laboratory Predictors Correlate with Clinical Deterioration in Hospitalized Patients with Covid-19
This article has 16 authors:Reviewed by ScreenIT