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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Heparan Sulfate Proteoglycans as Attachment Factor for SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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Potential modes of COVID-19 transmission from human eye revealed by single-cell atlas
This article has 7 authors:Reviewed by ScreenIT
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Multiple introductions, regional spread and local differentiation during the first week of COVID-19 epidemic in Montevideo, Uruguay
This article has 7 authors:Reviewed by ScreenIT
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SARS-CoV-2 Spike Glycoprotein and ACE2 interaction reveals modulation of viral entry in wild and domestic animals
This article has 14 authors:Reviewed by ScreenIT
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Age-Adjusted Associations Between Comorbidity and Outcomes of COVID-19: A Review of the Evidence From the Early Stages of the Pandemic
This article has 6 authors:Reviewed by ScreenIT
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The disease-induced herd immunity level for Covid-19 is substantially lower than the classical herd immunity level
This article has 3 authors:Reviewed by ScreenIT
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A simple model to fit the time evolution of the daily death rate of Covid-19 in European Union countries
This article has 3 authors:Reviewed by ScreenIT
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The receptor-binding domain of the viral spike protein is an immunodominant and highly specific target of antibodies in SARS-CoV-2 patients
This article has 24 authors:Reviewed by ScreenIT
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Neutrophil calprotectin identifies severe pulmonary disease in COVID-19
This article has 14 authors:Reviewed by ScreenIT
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Willingness to seek laboratory testing for SARS-CoV-2 with home, drive-through, and clinic-based specimen collection locations
This article has 8 authors:Reviewed by ScreenIT