| Title |
Bagging, Boosting and the Random Subspace Method for Linear Classifiers
|
|---|---|
| Published in |
Pattern Analysis and Applications, June 2002
|
| DOI | 10.1007/s100440200011 |
| Authors |
Marina Skurichina, Robert P. W. Duin |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| United States | 2 | <1% |
| Russia | 2 | <1% |
| France | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Italy | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 5 | 2% |
| Unknown | 248 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 61 | 23% |
| Student > Master | 57 | 21% |
| Researcher | 34 | 13% |
| Student > Doctoral Student | 19 | 7% |
| Student > Bachelor | 17 | 6% |
| Other | 46 | 17% |
| Unknown | 33 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 109 | 41% |
| Engineering | 45 | 17% |
| Mathematics | 13 | 5% |
| Business, Management and Accounting | 10 | 4% |
| Agricultural and Biological Sciences | 8 | 3% |
| Other | 43 | 16% |
| Unknown | 39 | 15% |
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 10 May 2014.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Pattern Analysis and Applications
#49
of 360 outputs
Outputs of similar age
#42,702
of 126,578 outputs
Outputs of similar age from Pattern Analysis and Applications
#2
of 3 outputs
Altmetric has tracked 25,374,647 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 360 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 60% 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 126,578 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.