| Title |
Human-competitive results produced by genetic programming
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, May 2010
|
| DOI | 10.1007/s10710-010-9112-3 |
| Authors |
John R. Koza |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Philippines | 1 | 7% |
| Spain | 1 | 7% |
| Comoros | 1 | 7% |
| Germany | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 10 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 93% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Japan | 4 | 2% |
| France | 3 | 1% |
| Portugal | 2 | <1% |
| Mexico | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 2 | <1% |
| Norway | 1 | <1% |
| Czechia | 1 | <1% |
| Other | 10 | 5% |
| Unknown | 189 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 21% |
| Student > Master | 42 | 19% |
| Researcher | 23 | 10% |
| Student > Bachelor | 15 | 7% |
| Professor | 14 | 6% |
| Other | 45 | 20% |
| Unknown | 35 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 106 | 48% |
| Engineering | 24 | 11% |
| Agricultural and Biological Sciences | 11 | 5% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Social Sciences | 5 | 2% |
| Other | 21 | 10% |
| Unknown | 47 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 12 December 2022.
All research outputs
#1,593,059
of 25,718,113 outputs
Outputs from Genetic Programming and Evolvable Machines
#3
of 129 outputs
Outputs of similar age
#5,204
of 106,188 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#1
of 4 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 106,188 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 4 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