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Content-based image retrieval methods

Overview of attention for article published in Programming and Computer Software, May 2009
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
Title
Content-based image retrieval methods
Published in
Programming and Computer Software, May 2009
DOI 10.1134/s0361768809030049
Authors

N. S. Vassilieva

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
India 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 35%
Student > Master 11 22%
Researcher 6 12%
Professor 2 4%
Student > Doctoral Student 1 2%
Other 4 8%
Unknown 8 16%
Readers by discipline Count As %
Computer Science 25 51%
Engineering 7 14%
Agricultural and Biological Sciences 1 2%
Social Sciences 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 October 2012.
All research outputs
#21,500,614
of 24,003,070 outputs
Outputs from Programming and Computer Software
#49
of 53 outputs
Outputs of similar age
#109,468
of 113,630 outputs
Outputs of similar age from Programming and Computer Software
#1
of 1 outputs
Altmetric has tracked 24,003,070 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 53 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% 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 113,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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