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Content-based Retrieval Using Local Descriptors: Problems and Issues from a Database Perspective

Overview of attention for article published in Pattern Analysis and Applications, June 2001
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 349)
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
11 Mendeley
Title
Content-based Retrieval Using Local Descriptors: Problems and Issues from a Database Perspective
Published in
Pattern Analysis and Applications, June 2001
DOI 10.1007/s100440170011
Authors

Laurent Amsaleg, Patrick Gros

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Other 1 9%
Professor 1 9%
Student > Doctoral Student 1 9%
Student > Master 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 8 73%
Business, Management and Accounting 1 9%
Engineering 1 9%
Unknown 1 9%
Attention Score in Context

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 12 August 2010.
All research outputs
#4,981,964
of 23,842,189 outputs
Outputs from Pattern Analysis and Applications
#13
of 349 outputs
Outputs of similar age
#6,543
of 40,490 outputs
Outputs of similar age from Pattern Analysis and Applications
#1
of 2 outputs
Altmetric has tracked 23,842,189 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 349 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 85% 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 40,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% 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