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Scale Invariant Feature Transform on the Sphere: Theory and Applications

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
113 Dimensions

Readers on

mendeley
83 Mendeley
citeulike
2 CiteULike
Title
Scale Invariant Feature Transform on the Sphere: Theory and Applications
Published in
International Journal of Computer Vision, November 2011
DOI 10.1007/s11263-011-0505-4
Authors

Javier Cruz-Mota, Iva Bogdanova, Benoît Paquier, Michel Bierlaire, Jean-Philippe Thiran

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Turkey 1 1%
Italy 1 1%
Japan 1 1%
Croatia 1 1%
Unknown 78 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 29%
Student > Master 15 18%
Researcher 11 13%
Student > Bachelor 5 6%
Student > Doctoral Student 5 6%
Other 9 11%
Unknown 14 17%
Readers by discipline Count As %
Computer Science 46 55%
Engineering 17 20%
Business, Management and Accounting 1 1%
Unspecified 1 1%
Psychology 1 1%
Other 1 1%
Unknown 16 19%
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 19 March 2024.
All research outputs
#8,628,139
of 25,608,265 outputs
Outputs from International Journal of Computer Vision
#462
of 1,448 outputs
Outputs of similar age
#52,925
of 155,378 outputs
Outputs of similar age from International Journal of Computer Vision
#4
of 10 outputs
Altmetric has tracked 25,608,265 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 1,448 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 39th percentile – i.e., 39% 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 155,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.