ScreenIT
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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Breastfeeding of infants born to mothers with COVID-19: a rapid review
This article has 23 authors:Reviewed by ScreenIT
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Public health education for parents during the outbreak of COVID-19: a rapid review
This article has 17 authors:Reviewed by ScreenIT
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Prevent the resurgence of infectious disease with asymptomatic carriers
This article has 1 author:Reviewed by ScreenIT
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Exploring Conformational Transition of 2019 Novel Coronavirus Spike Glycoprotein Between Its Closed and Open States Using Molecular Dynamics Simulations
This article has 6 authors:Reviewed by ScreenIT
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Comparison of SARS-CoV2 N gene real-time RT-PCR targets and commercially available mastermixes
This article has 7 authors:Reviewed by ScreenIT
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Broad and differential animal ACE2 receptor usage by SARS-CoV-2
This article has 14 authors:Reviewed by ScreenIT
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Rapid development of an inactivated vaccine for SARS-CoV-2
This article has 34 authors:Reviewed by ScreenIT
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Supramolecular Organization Predicts Protein Nanoparticle Delivery to Neutrophils for Acute Lung Inflammation Diagnosis and Treatment
This article has 25 authors:Reviewed by ScreenIT
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Sybodies targeting the SARS-CoV-2 receptor-binding domain
This article has 13 authors:Reviewed by ScreenIT
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Broad Host Range of SARS-CoV-2 Predicted by Comparative and Structural Analysis of ACE2 in Vertebrates
This article has 19 authors:Reviewed by ScreenIT