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X Demographics
Mendeley readers
Attention Score in Context
Title |
Applications of Evolutionary Computing
|
---|---|
Published by |
Lecture notes in computer science, January 2005
|
DOI | 10.1007/b106856 |
Pubmed ID | |
ISBNs |
978-3-54-025396-9, 978-3-54-032003-6
|
Authors |
Rothlauf, Franz, Bush WS, Motsinger AA, Dudek SM, Ritchie MD |
Editors |
Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, David Wolfe Corne, Rolf Drechsler, Yaochu Jin, Penousal Machado, Elena Marchiori, Juan Romero, George D. Smith, Giovanni Squillero |
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 % |
---|---|---|
United States | 1 | 33% |
Portugal | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 2 | 4% |
Germany | 1 | 2% |
Australia | 1 | 2% |
Malaysia | 1 | 2% |
China | 1 | 2% |
Unknown | 49 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 11 | 20% |
Student > Bachelor | 5 | 9% |
Student > Doctoral Student | 5 | 9% |
Researcher | 4 | 7% |
Professor > Associate Professor | 3 | 5% |
Other | 7 | 13% |
Unknown | 20 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 29% |
Engineering | 9 | 16% |
Mathematics | 2 | 4% |
Business, Management and Accounting | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 6 | 11% |
Unknown | 20 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 12 November 2023.
All research outputs
#7,061,613
of 23,577,654 outputs
Outputs from Lecture notes in computer science
#2,227
of 8,143 outputs
Outputs of similar age
#34,828
of 141,954 outputs
Outputs of similar age from Lecture notes in computer science
#43
of 132 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,143 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 72% 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 141,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.