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Mouse Models to Study Dengue Virus Immunology and Pathogenesis

Overview of attention for article published in Frontiers in immunology, April 2014
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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5 news outlets
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1 X user

Citations

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94 Dimensions

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170 Mendeley
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Title
Mouse Models to Study Dengue Virus Immunology and Pathogenesis
Published in
Frontiers in immunology, April 2014
DOI 10.3389/fimmu.2014.00151
Pubmed ID
Authors

Raphaël M. Zellweger, Sujan Shresta

Abstract

The development of a compelling murine model of dengue virus (DENV) infection has been challenging, because DENV clinical isolates do not readily replicate or cause pathology in immunocompetent mice. However, research using immunocompromised mice and/or mouse-adapted viruses allows investigation of questions that may be impossible to address in human studies. In this review, we discuss the potential strengths and limitations of existing mouse models of dengue disease. Human studies are descriptive by nature; moreover, the strain, time, and sequence of infection are often unknown. In contrast, in mice, the conditions of infection are well defined and a large number of experimental parameters can be varied at will. Therefore, mouse models offer an opportunity to experimentally test hypotheses that are based on epidemiological observations. In particular, gain-of-function or loss-of-function models can be established to assess how different components of the immune system (either alone or in combination) contribute to protection or pathogenesis during secondary infections or after vaccination. In addition, mouse models have been used for pre-clinical testing of anti-viral drugs or for vaccine development studies. Conclusions based on mouse experiments must be extrapolated to DENV-infection in humans with caution due to the inherent limitations of animal models. However, research in mouse models is a useful complement to in vitro and epidemiological data, and may delineate new areas that deserve attention during future human studies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Japan 1 <1%
Mexico 1 <1%
India 1 <1%
Unknown 165 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 26%
Researcher 27 16%
Student > Master 18 11%
Student > Bachelor 18 11%
Other 12 7%
Other 21 12%
Unknown 30 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 26%
Immunology and Microbiology 33 19%
Biochemistry, Genetics and Molecular Biology 23 14%
Medicine and Dentistry 16 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 17 10%
Unknown 32 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 13 November 2022.
All research outputs
#1,020,128
of 25,604,262 outputs
Outputs from Frontiers in immunology
#895
of 32,042 outputs
Outputs of similar age
#9,783
of 241,860 outputs
Outputs of similar age from Frontiers in immunology
#2
of 135 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,042 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 97% 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 241,860 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.