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Insulin Resistance and Alzheimer’s Disease: Bioenergetic Linkages

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
148 X users
facebook
3 Facebook pages
googleplus
2 Google+ users
video
1 YouTube creator

Readers on

mendeley
302 Mendeley
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Title
Insulin Resistance and Alzheimer’s Disease: Bioenergetic Linkages
Published in
Frontiers in Aging Neuroscience, October 2017
DOI 10.3389/fnagi.2017.00345
Pubmed ID
Authors

Bryan J. Neth, Suzanne Craft

Abstract

Metabolic dysfunction is a well-established feature of Alzheimer's disease (AD), evidenced by brain glucose hypometabolism that can be observed potentially decades prior to the development of AD symptoms. Furthermore, there is mounting support for an association between metabolic disease and the development of AD and related dementias. Individuals with insulin resistance, type 2 diabetes mellitus (T2D), hyperlipidemia, obesity, or other metabolic disease may have increased risk for the development of AD and similar conditions, such as vascular dementia. This association may in part be due to the systemic mitochondrial dysfunction that is common to these pathologies. Accumulating evidence suggests that mitochondrial dysfunction is a significant feature of AD and may play a fundamental role in its pathogenesis. In fact, aging itself presents a unique challenge due to inherent mitochondrial dysfunction and prevalence of chronic metabolic disease. Despite the progress made in understanding the pathogenesis of AD and in the development of potential therapies, at present we remain without a disease-modifying treatment. In this review, we will discuss insulin resistance as a contributing factor to the pathogenesis of AD, as well as the metabolic and bioenergetic disruptions linking insulin resistance and AD. We will also focus on potential neuroimaging tools for the study of the metabolic dysfunction commonly seen in AD with hopes of developing therapeutic and preventative targets.

X Demographics

X Demographics

The data shown below were collected from the profiles of 148 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 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 302 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 16%
Student > Bachelor 46 15%
Researcher 32 11%
Student > Master 24 8%
Other 17 6%
Other 43 14%
Unknown 92 30%
Readers by discipline Count As %
Neuroscience 44 15%
Biochemistry, Genetics and Molecular Biology 42 14%
Medicine and Dentistry 33 11%
Pharmacology, Toxicology and Pharmaceutical Science 19 6%
Agricultural and Biological Sciences 18 6%
Other 40 13%
Unknown 106 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 107. 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 01 September 2021.
All research outputs
#400,686
of 25,791,949 outputs
Outputs from Frontiers in Aging Neuroscience
#87
of 5,571 outputs
Outputs of similar age
#8,375
of 341,462 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#1
of 110 outputs
Altmetric has tracked 25,791,949 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,571 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 98% 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 341,462 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 97% of its contemporaries.
We're also able to compare this research output to 110 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 99% of its contemporaries.