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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Longitudinal study about low back pain, mental health, and access to healthcare system during COVID-19 pandemic: protocol of an ambispective cohort
This article has 8 authors:Reviewed by ScreenIT
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Generation of a SARS-CoV-2 Replicon as a Model System to Dissect Virus Replication and Antiviral Inhibition
This article has 14 authors:Reviewed by ScreenIT
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Cold and dry winter conditions are associated with greater SARS-CoV-2 transmission at regional level in western countries during the first epidemic wave
This article has 8 authors:Reviewed by ScreenIT
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Sentinel surveillance of SARS-CoV-2 in wastewater anticipates the occurrence of COVID-19 cases
This article has 8 authors:Reviewed by ScreenIT
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Severity-stratified and longitudinal analysis of VWF/ADAMTS13 imbalance, altered fibrin crosslinking and inhibition of fibrinolysis as contributors to COVID-19 coagulopathy
This article has 18 authors:Reviewed by ScreenIT
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A Multiple Linear Regression Analysis of Rural-Urban COVID-19 Risk Disparities in Texas
This article has 5 authors:Reviewed by ScreenIT
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Correlation between Chest CT Severity Scores and the Clinical Parameters of Adult Patients with COVID-19 Pneumonia
This article has 10 authors:Reviewed by ScreenIT
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Placental SARS‐CoV‐2 in a pregnant woman with mild COVID‐19 disease
This article has 8 authors:Reviewed by ScreenIT
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A Cybernetics-based Dynamic Infection Model for Analyzing SARS-COV-2 Infection Stability and Predicting Uncontrollable Risks
This article has 8 authors:Reviewed by ScreenIT
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Assessments of heavy lift UAV quadcopter drone to support COVID 19 vaccine cold chain delivery for indigenous people in remote areas in South East Asia
This article has 1 author:Reviewed by ScreenIT