| Title |
Improving the scalability of rule-based evolutionary learning
|
|---|---|
| Published in |
Memetic Computing, December 2008
|
| DOI | 10.1007/s12293-008-0005-4 |
| Authors |
Jaume Bacardit, Edmund K. Burke, Natalio Krasnogor |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 8% |
| Netherlands | 1 | 3% |
| Germany | 1 | 3% |
| India | 1 | 3% |
| United Kingdom | 1 | 3% |
| Unknown | 31 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 39% |
| Researcher | 5 | 13% |
| Student > Master | 3 | 8% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 6 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 68% |
| Agricultural and Biological Sciences | 3 | 8% |
| Engineering | 2 | 5% |
| Chemical Engineering | 1 | 3% |
| Unknown | 6 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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
#6,392,410
of 22,711,242 outputs
Outputs from Memetic Computing
#3
of 37 outputs
Outputs of similar age
#40,184
of 164,935 outputs
Outputs of similar age from Memetic Computing
#1
of 1 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 37 research outputs from this source. They receive a mean Attention Score of 1.9. This one scored the same or higher as 34 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 164,935 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% 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