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Self-refining games using player analytics

Overview of attention for article published in ACM Transactions on Graphics, July 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
48 Mendeley
citeulike
1 CiteULike
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Title
Self-refining games using player analytics
Published in
ACM Transactions on Graphics, July 2014
DOI 10.1145/2601097.2601196
Authors

Matt Stanton, Ben Humberston, Brandon Kase, James F. O'Brien, Kayvon Fatahalian, Adrien Treuille

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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
South Africa 1 2%
Canada 1 2%
Unknown 44 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 33%
Student > Master 8 17%
Researcher 7 15%
Student > Bachelor 3 6%
Professor 3 6%
Other 6 13%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 37 77%
Engineering 4 8%
Psychology 1 2%
Unknown 6 13%

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 01 March 2017.
All research outputs
#3,899,921
of 14,579,694 outputs
Outputs from ACM Transactions on Graphics
#549
of 1,700 outputs
Outputs of similar age
#61,244
of 228,498 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 4 outputs
Altmetric has tracked 14,579,694 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,700 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 66% 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 228,498 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 72% of its contemporaries.
We're also able to compare this research output to 4 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