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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Associations Between Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants and Risk of Coronavirus Disease 2019 (COVID-19) Hospitalization Among Confirmed Cases in Washington State: A Retrospective Cohort Study
This article has 45 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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SARS-CoV-2 Vaccine Effectiveness and Breakthrough Infections Among Patients Receiving Maintenance Dialysis
This article has 9 authors:Reviewed by ScreenIT
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A virus-specific monocyte inflammatory phenotype is induced by SARS-CoV2 at the immune-epithelial interface
This article has 16 authors:Reviewed by ScreenIT
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SARS-CoV-2 Variants of Concern Infect the Respiratory Tract and Induce Inflammatory Response in Wild-Type Laboratory Mice
This article has 9 authors:Reviewed by ScreenIT
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World Science against COVID-19: Gender and Geographical Distribution of Research
This article has 1 author:Reviewed by ScreenIT
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Reduced antibody activity against SARS-CoV-2 B.1.617.2 delta virus in serum of mRNA-vaccinated individuals receiving tumor necrosis factor-α inhibitors
This article has 23 authors:Reviewed by ScreenIT
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Excess Deaths associated with the COVID-19 Pandemic in Ukraine in 2020
This article has 7 authors:Reviewed by ScreenIT
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Determinants of sleep quality in adults during the COVID-19 pandemic: COVID-Inconfidentes , a population-based study
This article has 6 authors:Reviewed by ScreenIT
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Clinical Trial of Efficacy and Toxicity of Disoproxil Tenofovir Fumarate and Emtricitabine for Mild to Moderate SARS-CoV-2 Infections
This article has 18 authors:Reviewed by ScreenIT
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Use of eVLP-based vaccine candidates to broaden immunity against SARS-CoV-2 variants
This article has 11 authors:Reviewed by ScreenIT