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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Validation of a new automated chemiluminescent anti-SARS-CoV-2 IgM and IgG antibody assay system detecting both N and S proteins in Japan
This article has 17 authors:Reviewed by ScreenIT
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A Brief Burnout Evaluation Scale (BBES) as a potential tool to prevent collapse of the health care task force during the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT
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Modeling the effectiveness of olfactory testing to limit SARS-CoV-2 transmission
This article has 3 authors:Reviewed by ScreenIT
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Vaccination efforts in Brazil: scenarios and perspectives under a mathematical modeling approach
This article has 6 authors:Reviewed by ScreenIT
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Asthma in COVID-19 patients: An extra chain fitting around the neck?
This article has 13 authors:Reviewed by ScreenIT
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The Impact of Work Loss on Mental and Physical Health During the COVID-19 Pandemic: Baseline Findings from a Prospective Cohort Study
This article has 8 authors:Reviewed by ScreenIT
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Role of IgG against N-protein of SARS-CoV2 in COVID19 clinical outcomes
This article has 20 authors:Reviewed by ScreenIT
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Antibody persistency and trend post-SARS-CoV-2 infection at eight months
This article has 5 authors:Reviewed by ScreenIT
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Interim Analysis of Pandemic Coronavirus Disease 2019 (COVID-19) and the SARS-CoV-2 virus in Latin America and the Caribbean: Morbidity, Mortality and Molecular Testing Trends in the Region
This article has 8 authors:Reviewed by ScreenIT
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Sampling SARS-CoV-2 Proteomes for Predicted CD8 T-Cell Epitopes as a Tool for Understanding Immunogenic Breadth and Rational Vaccine Design
This article has 3 authors:Reviewed by ScreenIT