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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Lack of antiviral activity of darunavir against SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Chloroquine and hydroxychloroquine for the treatment of COVID-19: A living systematic review protocol
This article has 7 authors:Reviewed by ScreenIT
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The basic reproduction number and prediction of the epidemic size of the novel coronavirus (COVID-19) in Shahroud, Iran
This article has 6 authors:Reviewed by ScreenIT
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Connecting BCG Vaccination and COVID-19: Additional Data
This article has 2 authors:Reviewed by ScreenIT
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Physician deaths from corona virus (COVID-19) disease
This article has 4 authors:Reviewed by ScreenIT
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Co‐detection of respiratory pathogens in patients hospitalized with Coronavirus viral disease‐2019 pneumonia
This article has 10 authors:Reviewed by ScreenIT
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Targeting the catecholamine-cytokine axis to prevent SARS-CoV-2 cytokine storm syndrome
This article has 18 authors:Reviewed by ScreenIT
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Proteomic and Metabolomic Characterization of COVID-19 Patient Sera
This article has 40 authors:Reviewed by ScreenIT
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Susceptible supply limits the role of climate in the early SARS-CoV-2 pandemic
This article has 5 authors:Reviewed by ScreenIT
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A Prognostic Model to Predict Recovery of COVID-19 Patients Based on Longitudinal Laboratory Findings
This article has 9 authors:Reviewed by ScreenIT