↓ Skip to main content

Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video

Overview of attention for article published in Journal of atherosclerosis and thrombosis, October 2020
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
30 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video
Published in
Journal of atherosclerosis and thrombosis, October 2020
DOI 10.5551/jat.59675
Pubmed ID
Authors

Hiroto Yabushita, Shinichi Goto, Sunao Nakamura, Hideki Oka, Masamitsu Nakayama, Shinya Goto

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 10%
Student > Ph. D. Student 3 10%
Lecturer 2 7%
Student > Bachelor 2 7%
Other 2 7%
Other 5 17%
Unknown 13 43%
Readers by discipline Count As %
Medicine and Dentistry 6 20%
Engineering 3 10%
Nursing and Health Professions 2 7%
Sports and Recreations 1 3%
Unknown 18 60%
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 17 December 2020.
All research outputs
#16,086,386
of 25,887,951 outputs
Outputs from Journal of atherosclerosis and thrombosis
#360
of 719 outputs
Outputs of similar age
#240,961
of 436,012 outputs
Outputs of similar age from Journal of atherosclerosis and thrombosis
#4
of 14 outputs
Altmetric has tracked 25,887,951 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 719 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 48th percentile – i.e., 48% 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 436,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% 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 71% of its contemporaries.