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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A Long‐Lasting Skin Protectant Based on CG‐101, a Deep Eutectic Solvent Comprising Choline and Geranic Acid
This article has 5 authors:Reviewed by ScreenIT
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Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong
This article has 14 authors:Reviewed by ScreenIT
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Multiplexed detection and quantification of human antibody response to COVID-19 infection using a plasmon enhanced biosensor platform
This article has 10 authors:Reviewed by ScreenIT
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Evaluation of Production Lots of a Rapid Point-of-Care Lateral Flow Serological Test Intended for Identification of IgM and IgG against the N-Terminal Part of the Spike Protein (S1) of SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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What cost decisiveness? A cost benefit analysis of the lockdown to contain COVID-19 in India
This article has 2 authors:Reviewed by ScreenIT
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Aerosol emission from the respiratory tract: an analysis of aerosol generation from oxygen delivery systems
This article has 14 authors:Reviewed by ScreenIT
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The COVID-19 Incarceration Model: a tool for corrections staff to analyze outbreaks of COVID-19
This article has 8 authors:Reviewed by ScreenIT
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The Peak and Size of COVID-19 in India: SARIMA and Forecast (Preprint)
This article has 4 authors:Reviewed by ScreenIT
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The first thousands of cases of coronavirus disease 2019 (COVID-19) in Algeria: some risk factors
This article has 2 authors:Reviewed by ScreenIT
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Heat inactivation of serum interferes with the immunoanalysis of antibodies to SARS‐CoV‐2
This article has 14 authors:Reviewed by ScreenIT