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Article details
Title
Sensing External and Self-Motion with Hair Cells: A Comparison of the Lateral Line and Vestibular Systems from a Developmental and Evolutionary Perspective
Published in
Brain, Behavior and Evolution, October 2017
DOI 10.1159/000456646
Pubmed ID
Authors
Abstract

Detection of motion is a feature essential to any living animal. In vertebrates, mechanosensory hair cells organized into the lateral line and vestibular systems are used to detect external water or head/body motion, respectively. While the neuronal components to detect these physical attributes are similar between the two sensory systems, the organizational pattern of the receptors in the periphery and the distribution of hindbrain afferent and efferent projections are adapted to the specific functions of the respective system. Here we provide a concise review comparing the functional organization of the vestibular and lateral line systems from the development of the organs to the wiring from the periphery and the first processing stages. The goal of this review is to highlight the similarities and differences to demonstrate how evolution caused a common neuronal substrate to adapt to different functions, one for the detection of external water stimuli and the generation of sensory maps and the other for the detection of self-motion and the generation of motor commands for immediate behavioral reactions.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 13 29%
Student > Ph. D. Student 7 16%
Student > Bachelor 3 7%
Student > Master 3 7%
Student > Doctoral Student 2 4%
Other 6 13%
Unknown 11 24%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 22%
Neuroscience 9 20%
Biochemistry, Genetics and Molecular Biology 5 11%
Medicine and Dentistry 3 7%
Psychology 2 4%
Other 2 4%
Unknown 14 31%
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 18 October 2017.
All research outputs
#18,985,999
of 27,521,961 outputs
Outputs from Brain, Behavior and Evolution
#495
of 686 outputs
Outputs of similar age
#219,675
of 338,817 outputs
Outputs of similar age from Brain, Behavior and Evolution
#15
of 20 outputs
Altmetric has tracked 27,521,961 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 686 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 338,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.