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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

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
31 Dimensions

Readers on

mendeley
64 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Poland 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 34%
Student > Master 14 22%
Other 4 6%
Student > Bachelor 4 6%
Professor > Associate Professor 3 5%
Other 10 16%
Unknown 7 11%
Readers by discipline Count As %
Computer Science 22 34%
Engineering 15 23%
Design 10 16%
Materials Science 3 5%
Physics and Astronomy 1 2%
Other 4 6%
Unknown 9 14%

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 23 July 2020.
All research outputs
#4,885,727
of 15,557,294 outputs
Outputs from ACM Transactions on Graphics
#715
of 1,965 outputs
Outputs of similar age
#134,344
of 386,472 outputs
Outputs of similar age from ACM Transactions on Graphics
#1
of 7 outputs
Altmetric has tracked 15,557,294 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 1,965 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 386,472 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 61% of its contemporaries.
We're also able to compare this research output to 7 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