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Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk

Overview of attention for article published in Molecular Neurodegeneration, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 929)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
49 news outlets
blogs
1 blog
twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
413 Dimensions

Readers on

mendeley
480 Mendeley
citeulike
1 CiteULike
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Title
Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Published in
Molecular Neurodegeneration, May 2017
DOI 10.1186/s13024-017-0184-x
Pubmed ID
Authors

Anastasia G. Efthymiou, Alison M. Goate

Abstract

Alzheimer's disease (AD) is a highly heritable complex disease with no current effective prevention or treatment. The majority of drugs developed for AD focus on the amyloid cascade hypothesis, which implicates Aß plaques as a causal factor in the disease. However, it is possible that other underexplored disease-associated pathways may be more fruitful targets for drug development. Findings from gene network analyses implicate immune networks as being enriched in AD; many of the genes in these networks fall within genomic regions that contain common and rare variants that are associated with increased risk of developing AD. Of these genes, several (including CR1, SPI1, the MS4As, TREM2, ABCA7, CD33, and INPP5D) are expressed by microglia, the resident immune cells of the brain. We summarize the gene network and genetics findings that implicate that these microglial genes are involved in AD, as well as several studies that have looked at the expression and function of these genes in microglia and in the context of AD. We propose that these genes are contributing to AD in a non-Aß-dependent fashion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 480 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 479 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 19%
Researcher 78 16%
Student > Bachelor 46 10%
Student > Master 44 9%
Student > Doctoral Student 23 5%
Other 63 13%
Unknown 137 29%
Readers by discipline Count As %
Neuroscience 124 26%
Biochemistry, Genetics and Molecular Biology 63 13%
Agricultural and Biological Sciences 52 11%
Medicine and Dentistry 33 7%
Pharmacology, Toxicology and Pharmaceutical Science 14 3%
Other 43 9%
Unknown 151 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 385. 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 22 January 2023.
All research outputs
#76,328
of 24,677,985 outputs
Outputs from Molecular Neurodegeneration
#4
of 929 outputs
Outputs of similar age
#1,764
of 318,107 outputs
Outputs of similar age from Molecular Neurodegeneration
#2
of 26 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 929 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one has done particularly well, scoring higher than 99% 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 318,107 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 99% of its contemporaries.
We're also able to compare this research output to 26 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 96% of its contemporaries.