| Title |
Support Vector Machines and the Bayes Rule in Classification
|
|---|---|
| Published in |
Data Mining and Knowledge Discovery, July 2002
|
| DOI | 10.1023/a:1015469627679 |
| Authors |
Yi Lin |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 5% |
| China | 2 | 2% |
| Indonesia | 1 | 1% |
| Chile | 1 | 1% |
| France | 1 | 1% |
| Germany | 1 | 1% |
| Australia | 1 | 1% |
| Malaysia | 1 | 1% |
| Italy | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 82 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 30% |
| Researcher | 13 | 13% |
| Student > Master | 10 | 10% |
| Professor > Associate Professor | 8 | 8% |
| Professor | 5 | 5% |
| Other | 20 | 21% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 37 | 38% |
| Mathematics | 13 | 13% |
| Engineering | 9 | 9% |
| Agricultural and Biological Sciences | 3 | 3% |
| Economics, Econometrics and Finance | 2 | 2% |
| Other | 13 | 13% |
| Unknown | 20 | 21% |
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 07 February 2023.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Data Mining and Knowledge Discovery
#175
of 637 outputs
Outputs of similar age
#16,876
of 47,905 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 1 outputs
Altmetric has tracked 25,374,917 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 637 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 58% 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 47,905 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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