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Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey

Overview of attention for article published in Computer Methods & Programs in Biomedicine, August 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
37 Mendeley
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Title
Computational texture features of dermoscopic images and their link to the descriptive terminology: A survey
Published in
Computer Methods & Programs in Biomedicine, August 2019
DOI 10.1016/j.cmpb.2019.105049
Pubmed ID
Authors

Lidia Talavera-Martínez, Pedro Bibiloni, Manuel González-Hidalgo

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 11%
Other 4 11%
Student > Bachelor 4 11%
Student > Ph. D. Student 3 8%
Student > Doctoral Student 2 5%
Other 5 14%
Unknown 15 41%
Readers by discipline Count As %
Computer Science 7 19%
Medicine and Dentistry 6 16%
Business, Management and Accounting 2 5%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 18 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 December 2019.
All research outputs
#7,180,321
of 25,462,162 outputs
Outputs from Computer Methods & Programs in Biomedicine
#405
of 2,070 outputs
Outputs of similar age
#118,452
of 350,133 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#7
of 40 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,070 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 80% 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 350,133 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 65% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.