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A semantic network-based evolutionary algorithm for computational creativity

Overview of attention for article published in Evolutionary Intelligence, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
24 Mendeley
Title
A semantic network-based evolutionary algorithm for computational creativity
Published in
Evolutionary Intelligence, November 2014
DOI 10.1007/s12065-014-0119-1
Authors

Atılım Güneş Baydin, Ramon López de Mántaras, Santiago Ontañón

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belarus 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Bachelor 5 21%
Researcher 3 13%
Student > Master 2 8%
Lecturer 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 12 50%
Agricultural and Biological Sciences 2 8%
Social Sciences 2 8%
Economics, Econometrics and Finance 1 4%
Linguistics 1 4%
Other 2 8%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 July 2015.
All research outputs
#3,798,611
of 25,374,647 outputs
Outputs from Evolutionary Intelligence
#5
of 52 outputs
Outputs of similar age
#42,830
of 270,396 outputs
Outputs of similar age from Evolutionary Intelligence
#1
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 90% 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 270,396 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 83% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them