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Translational utility of experimental autoimmune encephalomyelitis: recent developments

Overview of attention for article published in Journal of Inflammation Research, November 2015
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Title
Translational utility of experimental autoimmune encephalomyelitis: recent developments
Published in
Journal of Inflammation Research, November 2015
DOI 10.2147/jir.s76707
Pubmed ID
Authors

Andre Ortlieb Guerreiro-Cacais, Hannes Laaksonen, Sevasti Flytzani, Marie N’diaye, Tomas Olsson, Maja Jagodic

Abstract

Multiple sclerosis (MS) is a complex autoimmune condition with firmly established genetic and environmental components. Genome-wide association studies (GWAS) have revealed a large number of genetic polymorphisms in the vicinity of, and within, genes that associate to disease. However, the significance of these single-nucleotide polymorphisms in disease and possible mechanisms of action remain, with a few exceptions, to be established. While the animal model for MS, experimental autoimmune encephalomyelitis (EAE), has been instrumental in understanding immunity in general and mechanisms of MS disease in particular, much of the translational information gathered from the model in terms of treatment development (glatiramer acetate and natalizumab) has been extensively summarized. In this review, we would thus like to cover the work done in EAE from a GWAS perspective, highlighting the research that has addressed the role of different GWAS genes and their pathways in EAE pathogenesis. Understanding the contribution of these pathways to disease might allow for the stratification of disease subphenotypes in patients and in turn open the possibility for new and individualized treatment approaches in the future.

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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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Brazil 1 2%
Unknown 39 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 34%
Student > Doctoral Student 4 10%
Other 3 7%
Student > Postgraduate 3 7%
Professor > Associate Professor 3 7%
Other 6 15%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 9 22%
Agricultural and Biological Sciences 6 15%
Immunology and Microbiology 4 10%
Neuroscience 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 4 10%
Unknown 11 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 December 2015.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Journal of Inflammation Research
#754
of 974 outputs
Outputs of similar age
#252,310
of 294,812 outputs
Outputs of similar age from Journal of Inflammation Research
#1
of 2 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 974 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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