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Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks

Overview of attention for article published in Signal, Image and Video Processing, March 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
4 Mendeley
Title
Compression of the biomedical images using quadtree-based partitioned universally classified energy and pattern blocks
Published in
Signal, Image and Video Processing, March 2019
DOI 10.1007/s11760-019-01454-z
Authors

Murat Gezer, Sepideh Nahavandi Gargari, Umit Guz, Hakan Gürkan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 25%
Student > Ph. D. Student 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 March 2019.
All research outputs
#15,064,889
of 24,698,625 outputs
Outputs from Signal, Image and Video Processing
#106
of 630 outputs
Outputs of similar age
#192,010
of 357,343 outputs
Outputs of similar age from Signal, Image and Video Processing
#5
of 5 outputs
Altmetric has tracked 24,698,625 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 630 research outputs from this source. They receive a mean Attention Score of 1.2. This one has done well, scoring higher than 82% 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 357,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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.