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Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification

Overview of attention for article published in The Egyptian Heart Journal, May 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
3 X users

Citations

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3 Dimensions

Readers on

mendeley
10 Mendeley
Title
Use of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification
Published in
The Egyptian Heart Journal, May 2022
DOI 10.1186/s43044-022-00280-y
Pubmed ID
Authors

Hidekazu Inage, Nobuo Tomizawa, Yujiro Otsuka, Chihiro Aoshima, Yuko Kawaguchi, Kazuhisa Takamura, Rie Matsumori, Yuki Kamo, Yui Nozaki, Daigo Takahashi, Ayako Kudo, Makoto Hiki, Yosuke Kogure, Shinichiro Fujimoto, Tohru Minamino, Shigeki Aoki

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 50%
Student > Postgraduate 1 10%
Unknown 4 40%
Readers by discipline Count As %
Nursing and Health Professions 3 30%
Computer Science 2 20%
Medicine and Dentistry 1 10%
Unknown 4 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 June 2022.
All research outputs
#16,063,069
of 25,392,582 outputs
Outputs from The Egyptian Heart Journal
#63
of 183 outputs
Outputs of similar age
#228,033
of 443,514 outputs
Outputs of similar age from The Egyptian Heart Journal
#6
of 14 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 183 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 63% 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 443,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 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 57% of its contemporaries.