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Integrative neurobiology of metabolic diseases, neuroinflammation, and neurodegeneration

Overview of attention for article published in Frontiers in Neuroscience, May 2015
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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 (89th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 news outlet
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9 X users
facebook
3 Facebook pages

Citations

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66 Dimensions

Readers on

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211 Mendeley
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Title
Integrative neurobiology of metabolic diseases, neuroinflammation, and neurodegeneration
Published in
Frontiers in Neuroscience, May 2015
DOI 10.3389/fnins.2015.00173
Pubmed ID
Authors

Gertjan van Dijk, Steffen van Heijningen, Aaffien C. Reijne, Csaba Nyakas, Eddy A. van der Zee, Ulrich L. M. Eisel

Abstract

Alzheimer's disease (AD) is a complex, multifactorial disease with a number of leading mechanisms, including neuroinflammation, processing of amyloid precursor protein (APP) to amyloid β peptide, tau protein hyperphosphorylation, relocalization, and deposition. These mechanisms are propagated by obesity, the metabolic syndrome and type-2 diabetes mellitus. Stress, sedentariness, dietary overconsumption of saturated fat and refined sugars, and circadian derangements/disturbed sleep contribute to obesity and related metabolic diseases, but also accelerate age-related damage and senescence that all feed the risk of developing AD too. The complex and interacting mechanisms are not yet completely understood and will require further analysis. Instead of investigating AD as a mono- or oligocausal disease we should address the disease by understanding the multiple underlying mechanisms and how these interact. Future research therefore might concentrate on integrating these by "systems biology" approaches, but also to regard them from an evolutionary medicine point of view. The current review addresses several of these interacting mechanisms in animal models and compares them with clinical data giving an overview about our current knowledge and puts them into an integrated framework.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
Spain 1 <1%
Bulgaria 1 <1%
Netherlands 1 <1%
Unknown 206 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 16%
Student > Master 33 16%
Researcher 28 13%
Student > Bachelor 27 13%
Professor 15 7%
Other 40 19%
Unknown 35 17%
Readers by discipline Count As %
Neuroscience 39 18%
Medicine and Dentistry 26 12%
Agricultural and Biological Sciences 26 12%
Biochemistry, Genetics and Molecular Biology 18 9%
Psychology 11 5%
Other 37 18%
Unknown 54 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 April 2016.
All research outputs
#2,450,590
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#1,470
of 11,541 outputs
Outputs of similar age
#30,487
of 279,405 outputs
Outputs of similar age from Frontiers in Neuroscience
#12
of 115 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,541 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 87% 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 279,405 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 89% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.