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Mendeley readers
Attention Score in Context
| Title |
Force sensor in simulated skin and neural model mimic tactile SAI afferent spiking response to ramp and hold stimuli
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, July 2012
|
| DOI | 10.1186/1743-0003-9-45 |
| Pubmed ID | |
| Authors |
Elmer K Kim, Scott A Wellnitz, Sarah M Bourdon, Ellen A Lumpkin, Gregory J Gerling |
| Abstract |
The next generation of prosthetic limbs will restore sensory feedback to the nervous system by mimicking how skin mechanoreceptors, innervated by afferents, produce trains of action potentials in response to compressive stimuli. Prior work has addressed building sensors within skin substitutes for robotics, modeling skin mechanics and neural dynamics of mechanotransduction, and predicting response timing of action potentials for vibration. The effort here is unique because it accounts for skin elasticity by measuring force within simulated skin, utilizes few free model parameters for parsimony, and separates parameter fitting and model validation. Additionally, the ramp-and-hold, sustained stimuli used in this work capture the essential features of the everyday task of contacting and holding an object. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 25% |
| Student > Master | 10 | 17% |
| Researcher | 6 | 10% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Other | 11 | 18% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 30 | 50% |
| Agricultural and Biological Sciences | 5 | 8% |
| Computer Science | 4 | 7% |
| Medicine and Dentistry | 3 | 5% |
| Neuroscience | 2 | 3% |
| Other | 7 | 12% |
| Unknown | 9 | 15% |
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 04 August 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,136
of 1,277 outputs
Outputs of similar age
#147,271
of 164,301 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#11
of 14 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 1st percentile – i.e., 1% 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 164,301 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.