| Title |
Visualizing non-metric similarities in multiple maps
|
|---|---|
| Published in |
Machine Learning, December 2011
|
| DOI | 10.1007/s10994-011-5273-4 |
| Authors |
Laurens van der Maaten, Geoffrey Hinton |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 4 | <1% |
| Brazil | 2 | <1% |
| Switzerland | 2 | <1% |
| Japan | 2 | <1% |
| Canada | 2 | <1% |
| Netherlands | 1 | <1% |
| Belgium | 1 | <1% |
| France | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 439 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 126 | 27% |
| Researcher | 89 | 19% |
| Student > Master | 72 | 15% |
| Other | 28 | 6% |
| Student > Bachelor | 28 | 6% |
| Other | 80 | 17% |
| Unknown | 43 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 179 | 38% |
| Engineering | 51 | 11% |
| Agricultural and Biological Sciences | 37 | 8% |
| Biochemistry, Genetics and Molecular Biology | 23 | 5% |
| Mathematics | 22 | 5% |
| Other | 90 | 19% |
| Unknown | 64 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 17 March 2022.
All research outputs
#2,786,970
of 23,347,114 outputs
Outputs from Machine Learning
#70
of 996 outputs
Outputs of similar age
#20,583
of 228,725 outputs
Outputs of similar age from Machine Learning
#1
of 6 outputs
Altmetric has tracked 23,347,114 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 996 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 92% 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 228,725 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 6 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