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Pharmacological Modulation of Functional Phenotypes of Microglia in Neurodegenerative Diseases

Overview of attention for article published in Frontiers in Aging Neuroscience, May 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
4 X users

Citations

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138 Dimensions

Readers on

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200 Mendeley
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Title
Pharmacological Modulation of Functional Phenotypes of Microglia in Neurodegenerative Diseases
Published in
Frontiers in Aging Neuroscience, May 2017
DOI 10.3389/fnagi.2017.00139
Pubmed ID
Authors

Gyun Jee Song, Kyoungho Suk

Abstract

Microglia are the resident innate immune cells of the central nervous system that mediate brain homeostasis maintenance. Microglia-mediated neuroinflammation is a hallmark shared by various neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis. Numerous studies have shown microglial activation phenotypes to be heterogeneous; however, these microglial phenotypes can largely be categorized as being either M1 or M2 type. Although the specific classification of M1 and M2 functionally polarized microglia remains a topic for debate, the use of functional modulators of microglial phenotypes as potential therapeutic approaches for the treatment of neurodegenerative diseases has garnered considerable attention. This review discusses M1 and M2 microglial phenotypes and their relevance in neurodegenerative disease models, as described in recent literature. The modulation of microglial polarization toward the M2 phenotype may lead to development of future therapeutic and preventive strategies for neuroinflammatory and neurodegenerative diseases. Thus, we focus on recent studies of microglial polarization modulators, with a particular emphasis on the small-molecule compounds and their intracellular target proteins.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 200 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 17%
Student > Bachelor 24 12%
Researcher 23 12%
Student > Master 22 11%
Student > Doctoral Student 18 9%
Other 24 12%
Unknown 56 28%
Readers by discipline Count As %
Neuroscience 42 21%
Biochemistry, Genetics and Molecular Biology 27 14%
Agricultural and Biological Sciences 23 12%
Medicine and Dentistry 18 9%
Pharmacology, Toxicology and Pharmaceutical Science 10 5%
Other 17 9%
Unknown 63 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 June 2017.
All research outputs
#2,106,483
of 25,375,376 outputs
Outputs from Frontiers in Aging Neuroscience
#621
of 5,481 outputs
Outputs of similar age
#38,467
of 316,460 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#23
of 124 outputs
Altmetric has tracked 25,375,376 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 5,481 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 88% 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 316,460 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 87% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.