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A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation

Overview of attention for article published in International Journal of Computer Assisted Radiology and Surgery, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
79 Mendeley
Title
A dataset of laryngeal endoscopic images with comparative study on convolution neural network-based semantic segmentation
Published in
International Journal of Computer Assisted Radiology and Surgery, January 2019
DOI 10.1007/s11548-018-01910-0
Pubmed ID
Authors

Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs, Tobias Ortmaier

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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 18%
Student > Ph. D. Student 12 15%
Student > Doctoral Student 6 8%
Student > Master 6 8%
Researcher 6 8%
Other 8 10%
Unknown 27 34%
Readers by discipline Count As %
Computer Science 14 18%
Engineering 10 13%
Medicine and Dentistry 10 13%
Biochemistry, Genetics and Molecular Biology 2 3%
Business, Management and Accounting 2 3%
Other 8 10%
Unknown 33 42%
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 03 February 2022.
All research outputs
#7,064,929
of 25,006,193 outputs
Outputs from International Journal of Computer Assisted Radiology and Surgery
#196
of 939 outputs
Outputs of similar age
#138,840
of 449,103 outputs
Outputs of similar age from International Journal of Computer Assisted Radiology and Surgery
#6
of 15 outputs
Altmetric has tracked 25,006,193 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 939 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 79% 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 449,103 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 68% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.