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A compiler for 3D machine knitting

Overview of attention for article published in ACM Transactions on Graphics, July 2016
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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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
77 Mendeley
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Title
A compiler for 3D machine knitting
Published in
ACM Transactions on Graphics, July 2016
DOI 10.1145/2897824.2925940
Authors

James McCann, Lea Albaugh, Vidya Narayanan, April Grow, Wojciech Matusik, Jennifer Mankoff, Jessica Hodgins

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Poland 1 1%
Unknown 75 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 32%
Student > Master 17 22%
Student > Bachelor 5 6%
Other 4 5%
Student > Doctoral Student 3 4%
Other 13 17%
Unknown 10 13%
Readers by discipline Count As %
Computer Science 22 29%
Engineering 19 25%
Design 14 18%
Materials Science 3 4%
Agricultural and Biological Sciences 1 1%
Other 6 8%
Unknown 12 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 July 2020.
All research outputs
#3,358,187
of 16,849,755 outputs
Outputs from ACM Transactions on Graphics
#381
of 2,066 outputs
Outputs of similar age
#96,357
of 392,671 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 5 outputs
Altmetric has tracked 16,849,755 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,066 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 gotten more attention than average, scoring higher than 66% 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 392,671 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 75% 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. This one has scored higher than all of them