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Eigenmode compression for modal sound models

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

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Title
Eigenmode compression for modal sound models
Published in
ACM Transactions on Graphics, July 2014
DOI 10.1145/2601097.2601177
Authors

Timothy R. Langlois, Steven S. An, Kelvin K. Jin, Doug L. James

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Master 8 19%
Researcher 6 14%
Student > Bachelor 5 12%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 5 12%
Readers by discipline Count As %
Computer Science 22 52%
Engineering 9 21%
Physics and Astronomy 3 7%
Mathematics 1 2%
Design 1 2%
Other 0 0%
Unknown 6 14%

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 13 August 2019.
All research outputs
#4,580,759
of 14,824,038 outputs
Outputs from ACM Transactions on Graphics
#655
of 1,795 outputs
Outputs of similar age
#105,107
of 271,038 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 1 outputs
Altmetric has tracked 14,824,038 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,795 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 12th percentile – i.e., 12% 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 271,038 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 59% of its contemporaries.
We're also able to compare this research output to 1 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