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Automatic evolution of programs for procedural generation of terrains for video games

Overview of attention for article published in Soft Computing - A Fusion of Foundations, Methodologies & Applications, June 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
12 Mendeley
Title
Automatic evolution of programs for procedural generation of terrains for video games
Published in
Soft Computing - A Fusion of Foundations, Methodologies & Applications, June 2012
DOI 10.1007/s00500-012-0863-z
Authors

Miguel Frade, Francisco Fernandez de Vega, Carlos Cotta

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 25%
Student > Bachelor 3 25%
Other 1 8%
Professor 1 8%
Student > Postgraduate 1 8%
Other 3 25%
Readers by discipline Count As %
Computer Science 12 100%

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 24 April 2018.
All research outputs
#8,058,606
of 12,846,518 outputs
Outputs from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#100
of 205 outputs
Outputs of similar age
#194,144
of 344,750 outputs
Outputs of similar age from Soft Computing - A Fusion of Foundations, Methodologies & Applications
#3
of 11 outputs
Altmetric has tracked 12,846,518 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 25th percentile – i.e., 25% 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 344,750 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.