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Evolution of Two Major Zika Virus Lineages: Implications for Pathology, Immune Response, and Vaccine Development

Overview of attention for article published in Frontiers in immunology, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

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26 X users
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1 Facebook page

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91 Dimensions

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216 Mendeley
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Title
Evolution of Two Major Zika Virus Lineages: Implications for Pathology, Immune Response, and Vaccine Development
Published in
Frontiers in immunology, July 2018
DOI 10.3389/fimmu.2018.01640
Pubmed ID
Authors

Jacob T. Beaver, Nadia Lelutiu, Rumi Habib, Ioanna Skountzou

Abstract

Zika virus (ZIKV) became a public health emergency of global concern in 2015 due to its rapid expansion from French Polynesia to Brazil, spreading quickly throughout the Americas. Its unexpected correlation to neurological impairments and defects, now known as congenital Zika syndrome, brought on an urgency to characterize the pathology and develop safe, effective vaccines. ZIKV genetic analyses have identified two major lineages, Asian and African, which have undergone substantial changes during the past 50 years. Although ZIKV infections have been circulating throughout Africa and Asia for the later part of the 20th century, the symptoms were mild and not associated with serious pathology until now. ZIKV evolution also took the form of novel modes of transmission, including maternal-fetal transmission, sexual transmission, and transmission through the eye. The African and Asian lineages have demonstrated differential pathogenesis and molecular responses in vitro and in vivo. The limited number of human infections prior to the 21st century restricted ZIKV research to in vitro studies, but current animal studies utilize mice deficient in type I interferon (IFN) signaling in order to invoke enhanced viral pathogenesis. This review examines ZIKV strain differences from an evolutionary perspective, discussing how these differentially impact pathogenesis via host immune responses that modulate IFN signaling, and how these differential effects dictate the future of ZIKV vaccine candidates.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 216 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 36 17%
Student > Ph. D. Student 35 16%
Student > Master 31 14%
Researcher 22 10%
Student > Postgraduate 14 6%
Other 23 11%
Unknown 55 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 21%
Immunology and Microbiology 33 15%
Medicine and Dentistry 22 10%
Agricultural and Biological Sciences 21 10%
Neuroscience 5 2%
Other 19 9%
Unknown 71 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 January 2021.
All research outputs
#2,251,248
of 25,420,980 outputs
Outputs from Frontiers in immunology
#2,184
of 31,641 outputs
Outputs of similar age
#44,746
of 340,561 outputs
Outputs of similar age from Frontiers in immunology
#73
of 672 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 31,641 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,561 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 672 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.