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Hypothalamic Alterations in Neurodegenerative Diseases and Their Relation to Abnormal Energy Metabolism

Overview of attention for article published in Frontiers in Molecular Neuroscience, January 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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Title
Hypothalamic Alterations in Neurodegenerative Diseases and Their Relation to Abnormal Energy Metabolism
Published in
Frontiers in Molecular Neuroscience, January 2018
DOI 10.3389/fnmol.2018.00002
Pubmed ID
Authors

Pauline Vercruysse, Didier Vieau, David Blum, Åsa Petersén, Luc Dupuis

Abstract

Neurodegenerative diseases (NDDs) are disorders characterized by progressive deterioration of brain structure and function. Selective neuronal populations are affected leading to symptoms which are prominently motor in amyotrophic lateral sclerosis (ALS) or Huntington's disease (HD), or cognitive in Alzheimer's disease (AD) and fronto-temporal dementia (FTD). Besides the common existence of neuronal loss, NDDs are also associated with metabolic changes such as weight gain, weight loss, loss of fat mass, as well as with altered feeding behavior. Importantly, preclinical research as well as clinical studies have demonstrated that altered energy homeostasis influences disease progression in ALS, AD and HD, suggesting that identification of the pathways leading to perturbed energy balance might provide valuable therapeutic targets Signals from both the periphery and central inputs are integrated in the hypothalamus, a major hub for the control of energy balance. Recent research identified major hypothalamic changes in multiple NDDs. Here, we review these hypothalamic alterations and seek to identify commonalities and differences in hypothalamic involvement between the different NDDs. These hypothalamic defects could be key in the development of perturbations in energy homeostasis in NDDs and further understanding of the underlying mechanisms might open up new avenues to not only treat weight loss but also to ameliorate overall neurological symptoms.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 178 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 20%
Researcher 29 16%
Student > Master 23 13%
Student > Bachelor 18 10%
Student > Doctoral Student 11 6%
Other 17 10%
Unknown 45 25%
Readers by discipline Count As %
Neuroscience 38 21%
Biochemistry, Genetics and Molecular Biology 21 12%
Medicine and Dentistry 18 10%
Agricultural and Biological Sciences 14 8%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 26 15%
Unknown 56 31%
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 04 January 2023.
All research outputs
#2,206,945
of 24,002,307 outputs
Outputs from Frontiers in Molecular Neuroscience
#197
of 3,122 outputs
Outputs of similar age
#52,009
of 448,126 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#10
of 116 outputs
Altmetric has tracked 24,002,307 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 3,122 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 93% 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 448,126 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 88% of its contemporaries.
We're also able to compare this research output to 116 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 92% of its contemporaries.