| Title |
Support-Vector Networks
|
|---|---|
| Published in |
Machine Learning, September 1995
|
| DOI | 10.1023/a:1022627411411 |
| Authors |
Corinna Cortes, Vladimir Vapnik |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 8,267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 63 | <1% |
| Germany | 25 | <1% |
| United Kingdom | 20 | <1% |
| Brazil | 15 | <1% |
| France | 13 | <1% |
| China | 11 | <1% |
| Canada | 10 | <1% |
| Spain | 8 | <1% |
| Switzerland | 6 | <1% |
| Other | 100 | 1% |
| Unknown | 7996 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1584 | 19% |
| Student > Ph. D. Student | 1580 | 19% |
| Researcher | 785 | 9% |
| Student > Bachelor | 736 | 9% |
| Student > Doctoral Student | 380 | 5% |
| Other | 967 | 12% |
| Unknown | 2235 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2173 | 26% |
| Engineering | 1446 | 17% |
| Agricultural and Biological Sciences | 331 | 4% |
| Earth and Planetary Sciences | 160 | 2% |
| Biochemistry, Genetics and Molecular Biology | 149 | 2% |
| Other | 1404 | 17% |
| Unknown | 2604 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 February 2023.
All research outputs
#2,088,592
of 25,371,288 outputs
Outputs from Machine Learning
#49
of 1,225 outputs
Outputs of similar age
#604
of 22,363 outputs
Outputs of similar age from Machine Learning
#2
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 96% 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 22,363 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 97% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.