| Title |
Neural computing for walking gait pattern identification based on multi-sensor data fusion of lower limb muscles
|
|---|---|
| Published in |
Neural Computing and Applications, April 2016
|
| DOI | 10.1007/s00521-016-2312-x |
| Authors |
Joko Triloka, S. M. N. Arosha Senanayake, Daphne Lai |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 29% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Bachelor | 4 | 12% |
| Professor > Associate Professor | 3 | 9% |
| Other | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 44% |
| Computer Science | 8 | 24% |
| Neuroscience | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Unknown | 9 | 26% |
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 23 April 2016.
All research outputs
#19,237,853
of 23,839,820 outputs
Outputs from Neural Computing and Applications
#1,007
of 2,407 outputs
Outputs of similar age
#221,935
of 301,432 outputs
Outputs of similar age from Neural Computing and Applications
#11
of 14 outputs
Altmetric has tracked 23,839,820 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 2,407 research outputs from this source. They receive a mean Attention Score of 1.3. This one has gotten more attention than average, scoring higher than 51% of its peers.
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 301,432 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.