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Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans

Overview of attention for article published in Journal of Digital Imaging, November 2018
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Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

mendeley
29 Mendeley
Title
Hybrid Airway Segmentation Using Multi-Scale Tubular Structure Filters and Texture Analysis on 3D Chest CT Scans
Published in
Journal of Digital Imaging, November 2018
DOI 10.1007/s10278-018-0158-8
Pubmed ID
Authors

Minho Lee, June-Goo Lee, Namkug Kim, Joon Beom Seo, Sang Min Lee

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

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 14%
Student > Master 3 10%
Researcher 3 10%
Professor 2 7%
Student > Doctoral Student 1 3%
Other 4 14%
Unknown 12 41%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Computer Science 4 14%
Engineering 4 14%
Psychology 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 13 45%
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 10 July 2019.
All research outputs
#20,574,742
of 23,151,828 outputs
Outputs from Journal of Digital Imaging
#951
of 1,070 outputs
Outputs of similar age
#373,532
of 437,988 outputs
Outputs of similar age from Journal of Digital Imaging
#29
of 31 outputs
Altmetric has tracked 23,151,828 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,070 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 437,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.