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Non-linear shape optimization using local subspace projections

Overview of attention for article published in ACM Transactions on Graphics, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 1,700)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

news
6 news outlets

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Non-linear shape optimization using local subspace projections
Published in
ACM Transactions on Graphics, July 2016
DOI 10.1145/2897824.2925886
Authors

Przemyslaw Musialski, Christian Hafner, Florian Rist, Michael Birsak, Michael Wimmer, Leif Kobbelt

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Switzerland 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 40%
Researcher 8 20%
Student > Master 5 13%
Student > Postgraduate 2 5%
Student > Bachelor 2 5%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Computer Science 23 57%
Engineering 9 23%
Mathematics 2 5%
Physics and Astronomy 2 5%
Design 1 3%
Other 0 0%
Unknown 3 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 01 March 2017.
All research outputs
#446,013
of 14,574,801 outputs
Outputs from ACM Transactions on Graphics
#29
of 1,700 outputs
Outputs of similar age
#15,429
of 257,874 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 3 outputs
Altmetric has tracked 14,574,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,700 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 98% 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 257,874 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 3 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