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Attention Score in Context
| Title |
Nanoscale Mechanical Stimulation Method for Quantifying C. elegans Mechanosensory Behavior and Memory
|
|---|---|
| Published in |
Analytical Sciences, November 2016
|
| DOI | 10.2116/analsci.32.1159 |
| Pubmed ID | |
| Authors |
SUGI Takuma, Etsuko OKUMURA, KISO Kaori, Ryuji IGARASHI |
| Abstract |
Withdrawal escape response of C. elegans to nonlocalized vibration is a useful behavioral paradigm to examine mechanisms underlying mechanosensory behavior and its memory-dependent change. However, there are very few methods for investigating the degree of vibration frequency, amplitude and duration needed to induce behavior and memory. Here, we establish a new system to quantify C. elegans mechanosensory behavior and memory using a piezoelectric sheet speaker. In the system, we can flexibly change the vibration properties at a nanoscale displacement level and quantify behavioral responses under each vibration property. This system is an economic setup and easily replicated in other laboratories. By using the system, we clearly detected withdrawal escape responses and confirmed habituation memory. This system will facilitate the understanding of physiological aspects of C. elegans mechanosensory behavior in the future. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 37% |
| Student > Ph. D. Student | 5 | 26% |
| Student > Postgraduate | 2 | 11% |
| Student > Doctoral Student | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 5 | 26% |
| Engineering | 4 | 21% |
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Neuroscience | 3 | 16% |
| Materials Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 16% |
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 06 February 2018.
All research outputs
#18,504,575
of 22,925,760 outputs
Outputs from Analytical Sciences
#697
of 904 outputs
Outputs of similar age
#237,121
of 312,931 outputs
Outputs of similar age from Analytical Sciences
#3
of 5 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 904 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.