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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Predicting COVID-19 incidence in French hospitals using human contact network analytics
This article has 3 authors:Reviewed by ScreenIT
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Evaluating the Impact of SARS-CoV-2 Variants on the COVID-19 Epidemic and Social Restoration in the United States: A Mathematical Modelling Study
This article has 8 authors:Reviewed by ScreenIT
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Knowledge, Attitude, and Practice of Physicians Regarding Vaccinations in Yerevan, Armenia: A Case Study of HPV
This article has 8 authors:Reviewed by ScreenIT
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Emergence of immune escape at dominant SARS-CoV-2 killer T cell epitope
This article has 18 authors:Reviewed by ScreenIT
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Microsimulation based quantitative analysis of COVID-19 management strategies
This article has 14 authors:Reviewed by ScreenIT
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Multidisciplinary team approach in critically ill COVID-19 patients reduced pronation-related complications rate: A retrospective cohort study
This article has 10 authors:Reviewed by ScreenIT
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Immunological features that associate with the strength of antibody responses to BNT162b2 mRNA vaccine against SARS-CoV-2
This article has 11 authors:Reviewed by ScreenIT
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Integrating PCR-free amplification and synergistic sensing for ultrasensitive and rapid CRISPR/Cas12a-based SARS-CoV-2 antigen detection
This article has 12 authors:Reviewed by ScreenIT
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Viral detection and identification in 20 min by rapid single-particle fluorescence in-situ hybridization of viral RNA
This article has 8 authors:Reviewed by ScreenIT
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Optimal selection of COVID-19 vaccination sites in the Philippines at the municipal level
This article has 5 authors:Reviewed by ScreenIT