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Physics-driven pattern adjustment for direct 3D garment editing

Overview of attention for article published in ACM Transactions on Graphics, July 2016
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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
35 Dimensions

Readers on

mendeley
43 Mendeley
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Title
Physics-driven pattern adjustment for direct 3D garment editing
Published in
ACM Transactions on Graphics, July 2016
DOI 10.1145/2897824.2925896
Authors

Aric Bartle, Alla Sheffer, Vladimir G. Kim, Danny M. Kaufman, Nicholas Vining, Floraine Berthouzoz

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 35%
Student > Master 12 28%
Researcher 5 12%
Student > Doctoral Student 2 5%
Student > Bachelor 1 2%
Other 3 7%
Unknown 5 12%
Readers by discipline Count As %
Computer Science 25 58%
Engineering 6 14%
Design 6 14%
Medicine and Dentistry 1 2%
Unknown 5 12%

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 19 November 2019.
All research outputs
#5,153,390
of 16,228,060 outputs
Outputs from ACM Transactions on Graphics
#725
of 1,979 outputs
Outputs of similar age
#111,573
of 278,886 outputs
Outputs of similar age from ACM Transactions on Graphics
#5
of 5 outputs
Altmetric has tracked 16,228,060 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 1,979 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 11th percentile – i.e., 11% 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 278,886 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.