| Title |
Model-based evolutionary algorithms: a short survey
|
|---|---|
| Published in |
Complex & Intelligent Systems, August 2018
|
| DOI | 10.1007/s40747-018-0080-1 |
| Authors |
Ran Cheng, Cheng He, Yaochu Jin, Xin Yao |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 14% |
| Mexico | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 25% |
| Student > Master | 11 | 14% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Student > Postgraduate | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 26 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 31% |
| Engineering | 12 | 15% |
| Neuroscience | 2 | 2% |
| Economics, Econometrics and Finance | 2 | 2% |
| Chemical Engineering | 1 | 1% |
| Other | 7 | 9% |
| Unknown | 32 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 August 2018.
All research outputs
#5,537,311
of 23,100,534 outputs
Outputs from Complex & Intelligent Systems
#12
of 85 outputs
Outputs of similar age
#94,215
of 330,796 outputs
Outputs of similar age from Complex & Intelligent Systems
#1
of 1 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 85% 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 330,796 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 71% of its contemporaries.
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