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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No SARS-CoV-2 in expressed prostatic secretion of patients with coronavirus disease 2019: a descriptive multicentre study in China
This article has 12 authors:Reviewed by ScreenIT
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Assessment of the Qualitative Fit Test and Quantitative Single-Pass Filtration Efficiency of Disposable N95 Masks Following Gamma Irradiation
This article has 7 authors:Reviewed by ScreenIT
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China's Fight Against COVID-19: What We Have Done and What We Should Do Next?
This article has 5 authors:Reviewed by ScreenIT
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An alternative workflow for molecular detection of SARS-CoV-2 – escape from the NA extraction kit-shortage, Copenhagen, Denmark, March 2020
This article has 2 authors:Reviewed by ScreenIT
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Trend Analysis and Forecasting of COVID-19 outbreak in India
This article has 2 authors:Reviewed by ScreenIT
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Correlation between hypophosphatemia and the severity of Corona Virus Disease 2019 patients
This article has 10 authors:Reviewed by ScreenIT
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Potential Role of Social Distancing in Mitigating Spread of Coronavirus Disease, South Korea
This article has 5 authors:Reviewed by ScreenIT
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In-flight transmission cluster of COVID-19: a retrospective case series
This article has 14 authors:Reviewed by ScreenIT
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Temperature, humidity, and wind speed are associated with lower Covid-19 incidence
This article has 3 authors:Reviewed by ScreenIT
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Modeling the Epidemic Dynamics of COVID-19 Outbreak in Iran
This article has 2 authors:Reviewed by ScreenIT