| Title |
Better GP benchmarks: community survey results and proposals
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, December 2012
|
| DOI | 10.1007/s10710-012-9177-2 |
| Authors |
David R. White, James McDermott, Mauro Castelli, Luca Manzoni, Brian W. Goldman, Gabriel Kronberger, Wojciech Jaśkowski, Una-May O’Reilly, Sean Luke |
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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 3 | 3% |
| United Kingdom | 2 | 2% |
| Mexico | 1 | 1% |
| Brazil | 1 | 1% |
| Japan | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 77 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 28% |
| Student > Master | 17 | 20% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Professor | 5 | 6% |
| Other | 18 | 21% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 56 | 65% |
| Engineering | 8 | 9% |
| Chemical Engineering | 1 | 1% |
| Mathematics | 1 | 1% |
| Biochemistry, Genetics and Molecular Biology | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 14 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 February 2013.
All research outputs
#15,263,666
of 22,696,971 outputs
Outputs from Genetic Programming and Evolvable Machines
#91
of 121 outputs
Outputs of similar age
#181,236
of 280,049 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 1 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 121 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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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