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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EEG feature comparison and classification of simple and compound limb motor imagery
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, October 2013
|
| DOI | 10.1186/1743-0003-10-106 |
| Pubmed ID | |
| Authors |
Weibo Yi, Shuang Qiu, Hongzhi Qi, Lixin Zhang, Baikun Wan, Dong Ming |
| Abstract |
Motor imagery can elicit brain oscillations in Rolandic mu rhythm and central beta rhythm, both originating in the sensorimotor cortex. In contrast with simple limb motor imagery, less work was reported about compound limb motor imagery which involves several parts of limbs. The goal of this study was to investigate the differences of the EEG patterns between simple limb motor imagery and compound limb motor imagery, and discuss the separability of multiple types of mental tasks. |
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 % |
|---|---|---|
| Unknown | 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Canada | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Japan | 1 | <1% |
| Unknown | 202 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 22% |
| Student > Master | 41 | 20% |
| Researcher | 23 | 11% |
| Student > Doctoral Student | 14 | 7% |
| Student > Bachelor | 14 | 7% |
| Other | 22 | 11% |
| Unknown | 47 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 70 | 34% |
| Neuroscience | 25 | 12% |
| Computer Science | 23 | 11% |
| Medicine and Dentistry | 11 | 5% |
| Agricultural and Biological Sciences | 7 | 3% |
| Other | 18 | 9% |
| Unknown | 53 | 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 14 October 2013.
All research outputs
#20,205,224
of 22,725,280 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,137
of 1,278 outputs
Outputs of similar age
#184,234
of 210,868 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#3
of 5 outputs
Altmetric has tracked 22,725,280 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 1,278 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 210,868 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 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.