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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An olfactory self-test effectively screens for COVID-19
This article has 29 authors:Reviewed by ScreenIT
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Hypothiocyanite and Hypothiocyanite/Lactoferrin Mixture Exhibit Virucidal Activity In Vitro against SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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A Blueprint for High Affinity SARS-CoV-2 Mpro Inhibitors from Activity-Based Compound Library Screening Guided by Analysis of Protein Dynamics
This article has 20 authors:Reviewed by ScreenIT
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Is a COVID19 Quarantine Justified in Chile or USA Right Now?
This article has 4 authors:Reviewed by ScreenIT
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Does Temperature Affect COVID-19 Transmission?
This article has 1 author:Reviewed by ScreenIT
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The Association of Opioid Use Disorder and COVID-19 in Shahroud, Iran
This article has 4 authors:Reviewed by ScreenIT
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Community and Campus COVID-19 Risk Uncertainty Under University Reopening Scenarios: Model-Based Analysis
This article has 4 authors:Reviewed by ScreenIT
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Food insecurity during COVID-19: A multi-state research collaborative
This article has 8 authors:Reviewed by ScreenIT
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Quantitative analysis of particulate matter release during orthodontic procedures: a pilot study
This article has 11 authors:Reviewed by ScreenIT
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Clinical course and outcomes of COVID-19 in rheumatic disease patients: a case cohort study with a diverse population
This article has 5 authors:Reviewed by ScreenIT