↓ Skip to main content

Exploring the role of microglia in mood disorders associated with experimental multiple sclerosis

Overview of attention for article published in Frontiers in Cellular Neuroscience, June 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Exploring the role of microglia in mood disorders associated with experimental multiple sclerosis
Published in
Frontiers in Cellular Neuroscience, June 2015
DOI 10.3389/fncel.2015.00243
Pubmed ID
Authors

Antonietta Gentile, Francesca De Vito, Diego Fresegna, Alessandra Musella, Fabio Buttari, Silvia Bullitta, Georgia Mandolesi, Diego Centonze

Abstract

Microglia is increasingly recognized to play a crucial role in the pathogenesis of psychiatric diseases. In particular, microglia may be the cellular link between inflammation and behavioral alterations: by releasing a number of soluble factors, among which pro-inflammatory cytokines, that can regulate synaptic activity, thereby leading to perturbation of behavior. In multiple sclerosis (MS), the most common neuroinflammatory disorder affecting young adults, microglia activation and dysfunction may account for mood symptoms, like depression and anxiety, that are often diagnosed in patients even in the absence of motor disability. Behavioral studies in experimental autoimmune encephalomyelitis (EAE), the animal model of MS, have shown that emotional changes occur early in the disease and in correlation to inflammatory mediator and neurotransmitter level alterations. However, such studies lack a full and comprehensive analysis of the role played by microglia in EAE-behavioral syndrome. We review the experimental studies addressing behavioral symptoms in EAE, and propose the study of neuron-glia interaction as a powerful but still poorly explored tool to investigate the burden of microglia in mood alterations associated to MS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 2%
Unknown 62 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Master 8 13%
Student > Bachelor 6 10%
Student > Ph. D. Student 5 8%
Student > Doctoral Student 4 6%
Other 13 21%
Unknown 12 19%
Readers by discipline Count As %
Neuroscience 13 21%
Psychology 8 13%
Agricultural and Biological Sciences 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 6%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 10 16%
Unknown 18 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 July 2015.
All research outputs
#13,949,040
of 22,815,414 outputs
Outputs from Frontiers in Cellular Neuroscience
#2,024
of 4,241 outputs
Outputs of similar age
#130,906
of 263,898 outputs
Outputs of similar age from Frontiers in Cellular Neuroscience
#62
of 126 outputs
Altmetric has tracked 22,815,414 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,241 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 263,898 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.