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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)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

patent
5 patents
video
1 video uploader

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
47 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 47 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 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 38%
Professor 8 17%
Researcher 5 11%
Student > Bachelor 3 6%
Student > Master 3 6%
Other 8 17%
Unknown 2 4%
Readers by discipline Count As %
Computer Science 38 81%
Engineering 2 4%
Chemistry 1 2%
Mathematics 1 2%
Unknown 5 11%

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
#2,778,301
of 14,824,038 outputs
Outputs from ACM Transactions on Graphics
#313
of 1,795 outputs
Outputs of similar age
#90,267
of 382,150 outputs
Outputs of similar age from ACM Transactions on Graphics
#2
of 21 outputs
Altmetric has tracked 14,824,038 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 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 382,150 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 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.