| Title |
A nonlinear kernel support matrix machine for matrix learning
|
|---|---|
| Published in |
International Journal of Machine Learning and Cybernetics, December 2018
|
| DOI | 10.1007/s13042-018-0896-4 |
| Authors |
Yunfei Ye |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 10% |
| Canada | 1 | 10% |
| Germany | 1 | 10% |
| Unknown | 7 | 70% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 2 | 15% |
| Student > Postgraduate | 2 | 15% |
| Student > Ph. D. Student | 2 | 15% |
| Researcher | 2 | 15% |
| Student > Bachelor | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 54% |
| Mathematics | 2 | 15% |
| Engineering | 1 | 8% |
| Unknown | 3 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 08 January 2018.
All research outputs
#6,674,480
of 24,002,307 outputs
Outputs from International Journal of Machine Learning and Cybernetics
#17
of 567 outputs
Outputs of similar age
#132,410
of 442,017 outputs
Outputs of similar age from International Journal of Machine Learning and Cybernetics
#1
of 1 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 567 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done particularly well, scoring higher than 97% 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 442,017 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 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them