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Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine

Overview of attention for article published in Applied Intelligence, June 2017
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Mentioned by

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1 X user

Citations

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68 Dimensions

Readers on

mendeley
48 Mendeley
Title
Content-based image retrieval and semantic automatic image annotation based on the weighted average of triangular histograms using support vector machine
Published in
Applied Intelligence, June 2017
DOI 10.1007/s10489-017-0957-5
Authors

Zahid Mehmood, Toqeer Mahmood, Muhammad Arshad Javid

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 19%
Student > Ph. D. Student 8 17%
Student > Postgraduate 3 6%
Professor > Associate Professor 3 6%
Researcher 2 4%
Other 4 8%
Unknown 19 40%
Readers by discipline Count As %
Computer Science 17 35%
Engineering 7 15%
Mathematics 1 2%
Materials Science 1 2%
Psychology 1 2%
Other 0 0%
Unknown 21 44%
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 26 May 2019.
All research outputs
#18,683,314
of 23,149,216 outputs
Outputs from Applied Intelligence
#738
of 1,718 outputs
Outputs of similar age
#242,352
of 317,176 outputs
Outputs of similar age from Applied Intelligence
#5
of 5 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,718 research outputs from this source. They receive a mean Attention Score of 1.0. This one has gotten more attention than average, scoring higher than 54% 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 317,176 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% 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.