You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Community Detection Using Cooperative Co-evolutionary Differential Evolution
|
---|---|
Chapter number | 24 |
Book title |
Parallel Problem Solving from Nature - PPSN XII
|
Published in |
Lecture notes in computer science, January 2012
|
DOI | 10.1007/978-3-642-32964-7_24 |
Book ISBNs |
978-3-64-232963-0, 978-3-64-232964-7
|
Authors |
Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He, John K. Heath, Xin Yao, Huang, Qiang, White, Thomas, Jia, Guanbo, Musolesi, Mirco, Turan, Nil, Tang, Ke, He, Shan, Heath, John K., Yao, Xin |
Editors |
Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone |
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 % |
---|---|---|
Singapore | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 28% |
Student > Master | 3 | 17% |
Student > Postgraduate | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 6% |
Other | 3 | 17% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 72% |
Engineering | 2 | 11% |
Environmental Science | 1 | 6% |
Unknown | 2 | 11% |
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 15 May 2021.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Lecture notes in computer science
#4,650
of 8,129 outputs
Outputs of similar age
#163,873
of 244,787 outputs
Outputs of similar age from Lecture notes in computer science
#268
of 490 outputs
Altmetric has tracked 22,903,988 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 8,129 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 244,787 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.