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Simulating articulated subspace self-contact

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
1 patent

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Simulating articulated subspace self-contact
Published in
ACM Transactions on Graphics, July 2014
DOI 10.1145/2601097.2601181
Authors

Yun Teng, Miguel A. Otaduy, Theodore Kim

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 39%
Student > Master 11 22%
Researcher 5 10%
Student > Bachelor 2 4%
Other 2 4%
Other 6 12%
Unknown 4 8%
Readers by discipline Count As %
Computer Science 31 63%
Engineering 9 18%
Materials Science 2 4%
Physics and Astronomy 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 5 10%

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 12 November 2019.
All research outputs
#5,132,879
of 16,179,098 outputs
Outputs from ACM Transactions on Graphics
#725
of 1,981 outputs
Outputs of similar age
#111,244
of 278,568 outputs
Outputs of similar age from ACM Transactions on Graphics
#5
of 5 outputs
Altmetric has tracked 16,179,098 research outputs across all sources so far. This one is in the 48th percentile – i.e., 48% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,981 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 278,568 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 5 others from the same source and published within six weeks on either side of this one.