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FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images

Overview of attention for article published in IEEE Transactions on Medical Imaging, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
3 patents

Readers on

mendeley
165 Mendeley
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Article details
Title
FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images
Published in
IEEE Transactions on Medical Imaging, August 2018
DOI 10.1109/tmi.2018.2858202
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 165 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 %
Unknown 165 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 30 18%
Researcher 19 12%
Student > Master 17 10%
Student > Bachelor 6 4%
Student > Postgraduate 6 4%
Other 23 14%
Unknown 64 39%
Readers by discipline
Readers by discipline Count As %
Computer Science 33 20%
Engineering 26 16%
Medicine and Dentistry 18 11%
Biochemistry, Genetics and Molecular Biology 3 2%
Nursing and Health Professions 2 1%
Other 10 6%
Unknown 73 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 June 2026.
All research outputs
#2,904,855
of 33,351,181 outputs
Outputs from IEEE Transactions on Medical Imaging
#162
of 4,413 outputs
Outputs of similar age
#44,479
of 364,323 outputs
Outputs of similar age from IEEE Transactions on Medical Imaging
#10
of 57 outputs
Altmetric has tracked 33,351,181 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 96% 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 364,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 57 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.