Mechanosensitive response of voltage-gated ion channels
2014
- 84Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage84
- Abstract Views44
- Downloads40
Article Description
Neurons communicate via a traveling wave of electrical excitation that propagates down an axon at speeds in the range of 10–100 m/s. This electrical wave is triggered and regulated by opening and closing of voltage-gated ion channels. These channels have been traditionally believed to be sensitive to the local electrochemical environment. A growing number of experiments now conclusively show that lipid-associated mechanical stimuli can control the channel response. We develop a quantitative model to elucidate the mechanosensitivity exhibited by these channels. With the help of a single model, we are able able to consolidate the findings of the various experimental studies that have investigated the effect of different mechanical stimuli.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know