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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SPINT2 controls SARS-CoV-2 viral infection and is associated to disease severity
This article has 6 authors:Reviewed by ScreenIT
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Predictive Modeling on the Number of Covid-19 Death Toll in the United States Considering the Effects of Coronavirus-Related Changes and Covid-19 Recovered Cases
This article has 1 author:Reviewed by ScreenIT
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Socio-demographic and Clinical Characteristics of Adults with SARS-CoV-2 Infection in Two Hospitals in Bogota, Colombia
This article has 7 authors:Reviewed by ScreenIT
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Immunofibrotic drivers of impaired lung function in postacute sequelae of SARS-CoV-2 infection
This article has 12 authors:Reviewed by ScreenIT
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Fluoxetine pharmacokinetics and tissue distribution suggest a possible role in reducing SARS-CoV-2 titers
This article has 1 author:Reviewed by ScreenIT
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Phylogenetic Analysis Of SARS-CoV-2 In The First Months Since Its Emergence
This article has 6 authors:Reviewed by ScreenIT
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Protective Effects of STI-2020 Antibody Delivered Post-Infection by the Intranasal or Intravenous Route in a Syrian Golden Hamster COVID-19 Model
This article has 18 authors:Reviewed by ScreenIT
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Early Improvement of Acute Respiratory Distress Syndrome in Patients With COVID-19 in the Intensive Care Unit: Retrospective Analysis
This article has 8 authors:Reviewed by ScreenIT
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Ongoing global and regional adaptive evolution of SARS-CoV-2
This article has 6 authors:Reviewed by ScreenIT
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Exploring Patterns and Trends in COVID-19 Exports from China, Italy, and Iran
This article has 6 authors:Reviewed by ScreenIT