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Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking

Overview of attention for article published in International Journal of Computer Vision, July 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Linear Regression and Adaptive Appearance Models for Fast Simultaneous Modelling and Tracking
Published in
International Journal of Computer Vision, July 2010
DOI 10.1007/s11263-010-0364-4
Authors

Liam Ellis, Nicholas Dowson, Jiri Matas, Richard Bowden

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 5%
Germany 1 2%
Turkey 1 2%
Switzerland 1 2%
France 1 2%
China 1 2%
Unknown 51 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 29%
Researcher 11 19%
Professor > Associate Professor 6 10%
Student > Master 6 10%
Professor 4 7%
Other 13 22%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 39 66%
Engineering 13 22%
Agricultural and Biological Sciences 1 2%
Decision Sciences 1 2%
Mathematics 1 2%
Other 0 0%
Unknown 4 7%
Attention Score in Context

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 24 December 2014.
All research outputs
#7,486,475
of 22,884,315 outputs
Outputs from International Journal of Computer Vision
#392
of 1,156 outputs
Outputs of similar age
#33,476
of 93,804 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 9 outputs
Altmetric has tracked 22,884,315 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 31st percentile – i.e., 31% 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 93,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.