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Learning to be a depth camera for close-range human capture and interaction

Overview of attention for article published in ACM Transactions on Graphics, July 2014
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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 (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 tweeters
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
153 Mendeley
citeulike
1 CiteULike
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Title
Learning to be a depth camera for close-range human capture and interaction
Published in
ACM Transactions on Graphics, July 2014
DOI 10.1145/2601097.2601223
Authors

Sean Ryan Fanello, Cem Keskin, Shahram Izadi, Pushmeet Kohli, David Kim, David Sweeney, Antonio Criminisi, Jamie Shotton, Sing Bing Kang, Tim Paek

Twitter Demographics

The data shown below were collected from the profiles of 3 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 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Brazil 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Singapore 1 <1%
Taiwan 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 143 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 33%
Student > Master 28 18%
Researcher 16 10%
Student > Bachelor 12 8%
Professor > Associate Professor 9 6%
Other 29 19%
Unknown 8 5%
Readers by discipline Count As %
Computer Science 84 55%
Engineering 38 25%
Physics and Astronomy 5 3%
Agricultural and Biological Sciences 3 2%
Neuroscience 2 1%
Other 8 5%
Unknown 13 8%

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 24 August 2017.
All research outputs
#3,293,443
of 14,579,694 outputs
Outputs from ACM Transactions on Graphics
#523
of 1,700 outputs
Outputs of similar age
#38,717
of 192,002 outputs
Outputs of similar age from ACM Transactions on Graphics
#19
of 50 outputs
Altmetric has tracked 14,579,694 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% 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 6.3. This one has gotten more attention than average, scoring higher than 69% 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 192,002 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 79% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.