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A survey on skeletonization algorithms and their applications

Overview of attention for article published in Pattern Recognition Letters, June 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
3 patents

Readers on

mendeley
213 Mendeley
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Article details
Title
A survey on skeletonization algorithms and their applications
Published in
Pattern Recognition Letters, June 2016
DOI 10.1016/j.patrec.2015.04.006
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Morocco 1 <1%
India 1 <1%
Unknown 211 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 70 33%
Student > Master 34 16%
Student > Doctoral Student 15 7%
Researcher 14 7%
Student > Bachelor 11 5%
Other 18 8%
Unknown 51 24%
Readers by discipline
Readers by discipline Count As %
Computer Science 61 29%
Engineering 42 20%
Materials Science 8 4%
Agricultural and Biological Sciences 5 2%
Medicine and Dentistry 5 2%
Other 30 14%
Unknown 62 29%
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 2026.
All research outputs
#6,087,168
of 27,781,301 outputs
Outputs from Pattern Recognition Letters
#160
of 1,782 outputs
Outputs of similar age
#82,051
of 320,846 outputs
Outputs of similar age from Pattern Recognition Letters
#1
of 9 outputs
Altmetric has tracked 27,781,301 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,782 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 78% 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 320,846 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 73% of its contemporaries.
We're also able to compare this research output to 9 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