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3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients

Overview of attention for article published in International Journal of Computer Vision, June 1997
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Mentioned by

patent
2 patents

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
Title
3D Pose Estimation by Directly Matching Polyhedral Models to Gray Value Gradients
Published in
International Journal of Computer Vision, June 1997
DOI 10.1023/a:1007927317325
Authors

Henner Kollnig, Hans-Hellmut Nagel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
France 1 2%
Taiwan 1 2%
Italy 1 2%
Russia 1 2%
Mexico 1 2%
Unknown 38 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 33%
Researcher 6 13%
Student > Master 6 13%
Professor 4 9%
Other 4 9%
Other 9 20%
Unknown 1 2%
Readers by discipline Count As %
Computer Science 33 73%
Engineering 8 18%
Neuroscience 1 2%
Earth and Planetary Sciences 1 2%
Unknown 2 4%
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 10 September 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from International Journal of Computer Vision
#458
of 1,420 outputs
Outputs of similar age
#9,449
of 29,200 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 38th percentile – i.e., 38% 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 29,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.