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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Wasserstein discriminant analysis
|
|---|---|
| Published in |
Machine Learning, May 2018
|
| DOI | 10.1007/s10994-018-5717-1 |
| Authors |
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy |
X Demographics
The data shown below were collected from the profiles of 9 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 | 11% |
| United States | 1 | 11% |
| India | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 89% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 85 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 31% |
| Researcher | 13 | 15% |
| Student > Master | 7 | 8% |
| Professor > Associate Professor | 4 | 5% |
| Professor | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 35 | 40% |
| Engineering | 11 | 13% |
| Mathematics | 8 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Neuroscience | 2 | 2% |
| Other | 8 | 9% |
| Unknown | 20 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 January 2018.
All research outputs
#13,559,864
of 24,049,457 outputs
Outputs from Machine Learning
#480
of 1,043 outputs
Outputs of similar age
#158,351
of 333,162 outputs
Outputs of similar age from Machine Learning
#11
of 14 outputs
Altmetric has tracked 24,049,457 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,043 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 333,162 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 51% of its contemporaries.
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 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.