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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Advanced Population Diversity Measures in Genetic Programming
|
---|---|
Chapter number | 33 |
Book title |
Parallel Problem Solving from Nature — PPSN VII
|
Published in |
Lecture notes in computer science, October 2002
|
DOI | 10.1007/3-540-45712-7_33 |
Book ISBNs |
978-3-54-044139-7, 978-3-54-045712-1
|
Authors |
Edmund Burke, Steven Gustafson, Graham Kendall, Natalio Krasnogor |
Editors |
Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, Hans-Paul Schwefel, José-Luis Fernández-Villacañas |
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 % |
---|---|---|
Malaysia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 2% |
Netherlands | 1 | 2% |
Chile | 1 | 2% |
Italy | 1 | 2% |
United Kingdom | 1 | 2% |
Mexico | 1 | 2% |
United States | 1 | 2% |
Poland | 1 | 2% |
Unknown | 33 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 39% |
Student > Master | 5 | 12% |
Professor > Associate Professor | 5 | 12% |
Researcher | 5 | 12% |
Student > Bachelor | 3 | 7% |
Other | 5 | 12% |
Unknown | 2 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 61% |
Engineering | 6 | 15% |
Agricultural and Biological Sciences | 2 | 5% |
Environmental Science | 1 | 2% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Other | 2 | 5% |
Unknown | 4 | 10% |
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 28 July 2017.
All research outputs
#20,592,137
of 23,177,498 outputs
Outputs from Lecture notes in computer science
#7,019
of 8,151 outputs
Outputs of similar age
#45,956
of 47,046 outputs
Outputs of similar age from Lecture notes in computer science
#45
of 47 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 47,046 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.