| Title |
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
|
|---|---|
| Published in |
Progress in Artificial Intelligence, November 2018
|
| DOI | 10.1007/s13748-018-00167-7 |
| Authors |
David Charte, Francisco Charte, Salvador García, Francisco Herrera |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 18% |
| Nepal | 1 | 9% |
| Switzerland | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 5 | 22% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 39% |
| Business, Management and Accounting | 2 | 9% |
| Unspecified | 1 | 4% |
| Mathematics | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 6 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 16 January 2022.
All research outputs
#5,119,247
of 24,980,180 outputs
Outputs from Progress in Artificial Intelligence
#8
of 48 outputs
Outputs of similar age
#107,168
of 449,213 outputs
Outputs of similar age from Progress in Artificial Intelligence
#1
of 1 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48 research outputs from this source. They receive a mean Attention Score of 3.8. This one scored the same or higher as 40 of them.
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 449,213 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 76% of its contemporaries.
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