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Predictive and generative neural networks for object functionality

Overview of attention for article published in ACM Transactions on Graphics, August 2018
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
6 tweeters

Readers on

mendeley
42 Mendeley
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Title
Predictive and generative neural networks for object functionality
Published in
ACM Transactions on Graphics, August 2018
DOI 10.1145/3197517.3201287
Authors

Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver Van Kaick, Ariel Shamir, Hao Zhang, Hui Huang

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 38%
Student > Ph. D. Student 8 19%
Researcher 6 14%
Student > Bachelor 2 5%
Student > Doctoral Student 1 2%
Other 3 7%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 28 67%
Engineering 5 12%
Psychology 1 2%
Earth and Planetary Sciences 1 2%
Unknown 7 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 30 June 2020.
All research outputs
#9,123,771
of 15,556,888 outputs
Outputs from ACM Transactions on Graphics
#1,775
of 1,965 outputs
Outputs of similar age
#174,528
of 338,810 outputs
Outputs of similar age from ACM Transactions on Graphics
#21
of 28 outputs
Altmetric has tracked 15,556,888 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 9th percentile – i.e., 9% 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 338,810 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.