| Title |
The online performance estimation framework: heterogeneous ensemble learning for data streams
|
|---|---|
| Published in |
Machine Learning, December 2017
|
| DOI | 10.1007/s10994-017-5686-9 |
| Authors |
Jan N. van Rijn, Geoffrey Holmes, Bernhard Pfahringer, Joaquin Vanschoren |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 20% |
| Student > Ph. D. Student | 20 | 19% |
| Lecturer | 7 | 7% |
| Professor > Associate Professor | 6 | 6% |
| Student > Doctoral Student | 6 | 6% |
| Other | 20 | 19% |
| Unknown | 27 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 51 | 48% |
| Engineering | 6 | 6% |
| Social Sciences | 3 | 3% |
| Mathematics | 3 | 3% |
| Decision Sciences | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 36 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 January 2018.
All research outputs
#14,960,496
of 24,541,341 outputs
Outputs from Machine Learning
#569
of 1,095 outputs
Outputs of similar age
#236,686
of 450,278 outputs
Outputs of similar age from Machine Learning
#10
of 10 outputs
Altmetric has tracked 24,541,341 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 450,278 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.