Title |
A heuristic optimization method inspired by wolf preying behavior
|
---|---|
Published in |
Neural Computing and Applications, February 2015
|
DOI | 10.1007/s00521-015-1836-9 |
Authors |
Simon Fong, Suash Deb, Xin-She Yang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 25 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 20% |
Student > Master | 4 | 16% |
Lecturer | 2 | 8% |
Student > Doctoral Student | 2 | 8% |
Professor | 2 | 8% |
Other | 5 | 20% |
Unknown | 5 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 32% |
Engineering | 6 | 24% |
Arts and Humanities | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Agricultural and Biological Sciences | 1 | 4% |
Other | 2 | 8% |
Unknown | 6 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2015.
All research outputs
#15,035,888
of 25,765,370 outputs
Outputs from Neural Computing and Applications
#443
of 2,613 outputs
Outputs of similar age
#186,760
of 368,822 outputs
Outputs of similar age from Neural Computing and Applications
#2
of 5 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,613 research outputs from this source. They receive a mean Attention Score of 1.5. This one has done well, scoring higher than 82% 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 368,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.