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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep Nets for Local Manifold Learning
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, May 2018
|
| DOI | 10.3389/fams.2018.00012 |
| Authors |
Charles K. Chui, Hrushikesh N. Mhaskar |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 4 | 13% |
| Brazil | 3 | 10% |
| United States | 2 | 6% |
| Mexico | 1 | 3% |
| Kenya | 1 | 3% |
| Jordan | 1 | 3% |
| Nigeria | 1 | 3% |
| United Arab Emirates | 1 | 3% |
| Switzerland | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 16 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 74% |
| Scientists | 7 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 94 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 31% |
| Researcher | 19 | 20% |
| Student > Master | 12 | 13% |
| Student > Bachelor | 9 | 9% |
| Professor | 5 | 5% |
| Other | 14 | 15% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 44 | 46% |
| Mathematics | 16 | 17% |
| Engineering | 7 | 7% |
| Neuroscience | 4 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 11 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 30 October 2020.
All research outputs
#2,031,046
of 26,476,278 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#11
of 431 outputs
Outputs of similar age
#40,375
of 348,046 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#3
of 19 outputs
Altmetric has tracked 26,476,278 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 431 research outputs from this source. They receive a mean Attention Score of 2.9. 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 348,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.