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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Evolving Bin Packing Heuristics with Genetic Programming
|
---|---|
Chapter number | 87 |
Book title |
Parallel Problem Solving from Nature - PPSN IX
|
Published in |
Lecture notes in computer science, November 2015
|
DOI | 10.1007/11844297_87 |
Book ISBNs |
978-3-54-038990-3, 978-3-54-038991-0
|
Authors |
E. K. Burke, M. R. Hyde, G. Kendall, Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley, Xin Yao, Burke, E. K., Hyde, M. R., Kendall, G. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 67% |
Malaysia | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Indonesia | 1 | 1% |
France | 1 | 1% |
Norway | 1 | 1% |
Italy | 1 | 1% |
United Kingdom | 1 | 1% |
Canada | 1 | 1% |
Japan | 1 | 1% |
Angola | 1 | 1% |
Other | 0 | 0% |
Unknown | 64 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 25 | 34% |
Student > Master | 11 | 15% |
Researcher | 9 | 12% |
Professor | 5 | 7% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 15% |
Unknown | 8 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 48 | 66% |
Engineering | 5 | 7% |
Business, Management and Accounting | 4 | 5% |
Mathematics | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 2 | 3% |
Other | 1 | 1% |
Unknown | 9 | 12% |
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 04 September 2017.
All research outputs
#13,072,910
of 22,782,096 outputs
Outputs from Lecture notes in computer science
#3,903
of 8,124 outputs
Outputs of similar age
#178,435
of 386,153 outputs
Outputs of similar age from Lecture notes in computer science
#312
of 499 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 386,153 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 53% of its contemporaries.
We're also able to compare this research output to 499 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.