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Deformable Model Fitting by Regularized Landmark Mean-Shift

Overview of attention for article published in International Journal of Computer Vision, January 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 151)
  • Good Attention Score compared to outputs of the same age (79th percentile)

Mentioned by

twitter
3 tweeters
googleplus
2 Google+ users

Readers on

mendeley
290 Mendeley
citeulike
2 CiteULike
Title
Deformable Model Fitting by Regularized Landmark Mean-Shift
Published in
International Journal of Computer Vision, January 2011
DOI 10.1007/s11263-010-0380-4
Authors

Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn

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

Geographical breakdown

Country Count As %
United Kingdom 5 2%
Germany 3 1%
Australia 3 1%
Switzerland 3 1%
China 2 <1%
Netherlands 2 <1%
Russian Federation 2 <1%
Japan 2 <1%
United States 2 <1%
Other 9 3%
Unknown 257 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 38%
Researcher 53 18%
Student > Master 44 15%
Student > Bachelor 29 10%
Other 12 4%
Other 42 14%
Readers by discipline Count As %
Computer Science 206 71%
Engineering 51 18%
Unspecified 8 3%
Mathematics 6 2%
Agricultural and Biological Sciences 3 1%
Other 16 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 December 2015.
All research outputs
#1,584,994
of 7,902,658 outputs
Outputs from International Journal of Computer Vision
#9
of 151 outputs
Outputs of similar age
#38,717
of 188,233 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 2 outputs
Altmetric has tracked 7,902,658 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 151 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 94% 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 188,233 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 2 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