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Neuronal aging: learning from C. elegans

Overview of attention for article published in Journal of Molecular Signaling, December 2013
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Title
Neuronal aging: learning from C. elegans
Published in
Journal of Molecular Signaling, December 2013
DOI 10.1186/1750-2187-8-14
Pubmed ID
Authors

Chun-Hao Chen, Yen-Chih Chen, Hao-Ching Jiang, Chung-Kuan Chen, Chun-Liang Pan

Abstract

The heterogeneity and multigenetic nature of nervous system aging make modeling of it a formidable task in mammalian species. The powerful genetics, simple anatomy and short life span of the nematode Caenorhabditis elegans offer unique advantages in unraveling the molecular genetic network that regulates the integrity of neuronal structures and functions during aging. In this review, we first summarize recent breakthroughs in the morphological and functional characterization of C. elegans neuronal aging. Age-associated morphological changes include age-dependent neurite branching, axon beading or swelling, axon defasciculation, progressive distortion of the neuronal soma, and early decline in presynaptic release function. We then discuss genetic pathways that modulate the speed of neuronal aging concordant with alteration in life span, such as insulin signaling, as well as cell-autonomous factors that promote neuronal integrity during senescence, including membrane activity and JNK/MAPK signaling. As a robust genetic model for aging, insights from C. elegans neuronal aging studies will contribute to our mechanistic understanding of human brain aging.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 <1%
Australia 1 <1%
India 1 <1%
Belgium 1 <1%
United States 1 <1%
Unknown 111 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Student > Master 22 19%
Student > Bachelor 15 13%
Researcher 12 10%
Student > Doctoral Student 6 5%
Other 14 12%
Unknown 20 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 33%
Biochemistry, Genetics and Molecular Biology 21 18%
Neuroscience 16 14%
Medicine and Dentistry 4 3%
Engineering 4 3%
Other 10 9%
Unknown 23 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 February 2014.
All research outputs
#15,288,160
of 22,736,112 outputs
Outputs from Journal of Molecular Signaling
#24
of 44 outputs
Outputs of similar age
#192,316
of 306,799 outputs
Outputs of similar age from Journal of Molecular Signaling
#1
of 2 outputs
Altmetric has tracked 22,736,112 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44 research outputs from this source. They receive a mean Attention Score of 2.6. This one scored the same or higher as 20 of them.
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 306,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them