The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SVM-Based Classification of sEMG Signals for Upper-Limb Self-Rehabilitation Training
|
|---|---|
| Published in |
Frontiers in Neurorobotics, June 2019
|
| DOI | 10.3389/fnbot.2019.00031 |
| Pubmed ID | |
| Authors |
Siqi Cai, Yan Chen, Shuangyuan Huang, Yan Wu, Haiqing Zheng, Xin Li, Longhan Xie |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 12% |
| Researcher | 9 | 9% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Lecturer | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 49 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 27% |
| Nursing and Health Professions | 9 | 9% |
| Medicine and Dentistry | 6 | 6% |
| Computer Science | 5 | 5% |
| Business, Management and Accounting | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 50 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 29 June 2019.
All research outputs
#8,097,457
of 26,378,648 outputs
Outputs from Frontiers in Neurorobotics
#199
of 1,063 outputs
Outputs of similar age
#133,303
of 370,433 outputs
Outputs of similar age from Frontiers in Neurorobotics
#5
of 36 outputs
Altmetric has tracked 26,378,648 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,063 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 80% 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 370,433 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.