| Title |
On the mapping of genotype to phenotype in evolutionary algorithms
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, February 2017
|
| DOI | 10.1007/s10710-017-9288-x |
| Authors |
Peter A. Whigham, Grant Dick, James Maclaurin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Student > Master | 3 | 19% |
| Lecturer | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Professor | 1 | 6% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 44% |
| Engineering | 3 | 19% |
| Economics, Econometrics and Finance | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 4 | 25% |
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 24 October 2023.
All research outputs
#6,936,710
of 24,208,207 outputs
Outputs from Genetic Programming and Evolvable Machines
#30
of 122 outputs
Outputs of similar age
#107,626
of 315,064 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 3 outputs
Altmetric has tracked 24,208,207 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 122 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 315,064 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 64% 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.