| Title |
Expert-driven genetic algorithms for simulating evaluation functions
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, February 2010
|
| DOI | 10.1007/s10710-010-9103-4 |
| Authors |
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanyahu |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Cuba | 1 | 3% |
| Italy | 1 | 3% |
| Slovakia | 1 | 3% |
| Unknown | 30 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 24% |
| Professor > Associate Professor | 5 | 15% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 4 | 12% |
| Researcher | 3 | 9% |
| Other | 5 | 15% |
| Unknown | 4 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 59% |
| Engineering | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 07 April 2023.
All research outputs
#7,023,923
of 25,654,566 outputs
Outputs from Genetic Programming and Evolvable Machines
#25
of 128 outputs
Outputs of similar age
#33,226
of 103,403 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 2 outputs
Altmetric has tracked 25,654,566 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 80% 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 103,403 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 67% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.