| Title |
Learning classifier systems from a reinforcement learning perspective
|
|---|---|
| Published in |
Soft Computing, June 2002
|
| DOI | 10.1007/s005000100113 |
| Authors |
P. L. Lanzi |
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 % |
|---|---|---|
| United Kingdom | 1 | 4% |
| China | 1 | 4% |
| Venezuela, Bolivarian Republic of | 1 | 4% |
| Slovenia | 1 | 4% |
| Unknown | 19 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Student > Bachelor | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Master | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 43% |
| Engineering | 3 | 13% |
| Economics, Econometrics and Finance | 2 | 9% |
| Business, Management and Accounting | 2 | 9% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 4 | 17% |
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 18 October 2016.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Soft Computing
#110
of 557 outputs
Outputs of similar age
#43,433
of 127,793 outputs
Outputs of similar age from Soft Computing
#1
of 1 outputs
Altmetric has tracked 25,837,817 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 557 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 57% 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 127,793 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 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