| Title |
Software review: DEAP (Distributed Evolutionary Algorithm in Python) library
|
|---|---|
| Published in |
Genetic Programming and Evolvable Machines, November 2018
|
| DOI | 10.1007/s10710-018-9341-4 |
| Authors |
Jinhan Kim, Shin Yoo |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 19% |
| Student > Master | 10 | 19% |
| Student > Ph. D. Student | 5 | 9% |
| Lecturer | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 17 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 20% |
| Engineering | 6 | 11% |
| Chemical Engineering | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Other | 9 | 17% |
| Unknown | 21 | 39% |
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 27 November 2018.
All research outputs
#15,552,610
of 23,114,117 outputs
Outputs from Genetic Programming and Evolvable Machines
#90
of 120 outputs
Outputs of similar age
#265,727
of 437,822 outputs
Outputs of similar age from Genetic Programming and Evolvable Machines
#2
of 2 outputs
Altmetric has tracked 23,114,117 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 120 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.
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 437,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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.