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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data
|
|---|---|
| Published in |
BMC Bioinformatics, February 2017
|
| DOI | 10.1186/s12859-017-1543-x |
| Pubmed ID | |
| Authors |
Kosuke Yoshida, Junichiro Yoshimoto, Kenji Doya |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ecuador | 1 | 2% |
| Unknown | 58 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 31% |
| Researcher | 10 | 17% |
| Student > Bachelor | 6 | 10% |
| Professor > Associate Professor | 5 | 8% |
| Student > Master | 5 | 8% |
| Other | 10 | 17% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 15% |
| Agricultural and Biological Sciences | 8 | 14% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Engineering | 7 | 12% |
| Mathematics | 6 | 10% |
| Other | 14 | 24% |
| Unknown | 8 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 24 April 2019.
All research outputs
#14,913,713
of 23,144,579 outputs
Outputs from BMC Bioinformatics
#5,073
of 7,339 outputs
Outputs of similar age
#244,709
of 429,134 outputs
Outputs of similar age from BMC Bioinformatics
#86
of 149 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,339 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 429,134 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.