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Space-time editing of elastic motion through material optimization and reduction

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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

patent
5 patents
video
1 video uploader

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Space-time editing of elastic motion through material optimization and reduction
Published in
ACM Transactions on Graphics, July 2014
DOI 10.1145/2601097.2601217
Authors

Siwang Li, Jin Huang, Fernando de Goes, Xiaogang Jin, Hujun Bao, Mathieu Desbrun

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
France 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 38%
Professor 9 18%
Researcher 6 12%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 7 14%
Unknown 3 6%
Readers by discipline Count As %
Computer Science 38 76%
Engineering 2 4%
Physics and Astronomy 1 2%
Neuroscience 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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
#2,984,321
of 15,641,077 outputs
Outputs from ACM Transactions on Graphics
#346
of 1,964 outputs
Outputs of similar age
#92,030
of 388,831 outputs
Outputs of similar age from ACM Transactions on Graphics
#6
of 26 outputs
Altmetric has tracked 15,641,077 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,964 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 82% 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 388,831 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 76% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.