| Title |
On evaluating stream learning algorithms
|
|---|---|
| Published in |
Machine Learning, October 2012
|
| DOI | 10.1007/s10994-012-5320-9 |
| Authors |
João Gama, Raquel Sebastião, Pedro Pereira Rodrigues |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 25% |
| Portugal | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 3 | 1% |
| United Kingdom | 3 | 1% |
| Brazil | 3 | 1% |
| United States | 2 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Cuba | 1 | <1% |
| Belgium | 1 | <1% |
| Austria | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 255 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 79 | 29% |
| Student > Master | 53 | 20% |
| Researcher | 19 | 7% |
| Student > Bachelor | 16 | 6% |
| Professor > Associate Professor | 12 | 4% |
| Other | 38 | 14% |
| Unknown | 54 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 151 | 56% |
| Engineering | 23 | 8% |
| Mathematics | 13 | 5% |
| Business, Management and Accounting | 3 | 1% |
| Medicine and Dentistry | 3 | 1% |
| Other | 11 | 4% |
| Unknown | 67 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 26 October 2021.
All research outputs
#5,405,999
of 22,755,127 outputs
Outputs from Machine Learning
#173
of 954 outputs
Outputs of similar age
#40,034
of 183,473 outputs
Outputs of similar age from Machine Learning
#2
of 2 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 954 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% 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 183,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.