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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Tocilizumab and steroid treatment in patients with COVID-19 pneumonia
This article has 44 authors:Reviewed by ScreenIT
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A multi-task pipeline with specialized streams for classification and segmentation of infection manifestations in COVID-19 scans
This article has 3 authors:Reviewed by ScreenIT
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Seroprevalence of SARS-CoV-2 IgG specific antibodies among healthcare workers in the Northern Metropolitan Area of Barcelona, Spain, after the first pandemic wave
This article has 10 authors:Reviewed by ScreenIT
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Regional Association of Disability and SARS-CoV-2 Infection in 369 Counties of the United States
This article has 8 authors:Reviewed by ScreenIT
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Modelling lockdown-induced 2 nd COVID waves in France
This article has 6 authors:Reviewed by ScreenIT
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The psychological effects of quarantine during COVID-19 outbreak: Sentiment analysis of social media data
This article has 6 authors:Reviewed by ScreenIT
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Erythrocyte Sedimentation Rate in COVID-19 Infections
This article has 9 authors:Reviewed by ScreenIT
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An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India
This article has 3 authors:Reviewed by ScreenIT
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Uncertainty Stress, and Its Impact on Disease Fear and Prevention Behavior during the COVID-19 Epidemic in China: A Panel Study
This article has 5 authors:Reviewed by ScreenIT
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Clinical course and potential predictive factors for pneumonia of adult patients with Coronavirus Disease 2019 (COVID-19): A retrospective observational analysis of 193 confirmed cases in Thailand
This article has 9 authors:Reviewed by ScreenIT