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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
|
|---|---|
| Published in |
Machine Learning, November 2001
|
| DOI | 10.1023/a:1010920819831 |
| Authors |
David J. Hand, Robert J. Till |
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 % |
|---|---|---|
| Germany | 1 | 33% |
| United Kingdom | 1 | 33% |
| China | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,264 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 21 | 2% |
| United Kingdom | 10 | <1% |
| Germany | 9 | <1% |
| Brazil | 5 | <1% |
| Spain | 4 | <1% |
| Belgium | 4 | <1% |
| Australia | 3 | <1% |
| Portugal | 3 | <1% |
| Denmark | 3 | <1% |
| Other | 29 | 2% |
| Unknown | 1173 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 281 | 22% |
| Researcher | 201 | 16% |
| Student > Master | 187 | 15% |
| Student > Bachelor | 90 | 7% |
| Student > Doctoral Student | 58 | 5% |
| Other | 208 | 16% |
| Unknown | 239 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 324 | 26% |
| Engineering | 155 | 12% |
| Agricultural and Biological Sciences | 97 | 8% |
| Mathematics | 57 | 5% |
| Medicine and Dentistry | 49 | 4% |
| Other | 275 | 22% |
| Unknown | 307 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 31 October 2023.
All research outputs
#1,480,208
of 26,017,215 outputs
Outputs from Machine Learning
#31
of 1,266 outputs
Outputs of similar age
#1,095
of 47,571 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,266 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 97% 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 47,571 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 96% of its contemporaries.
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.