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X Demographics
Mendeley readers
Attention Score in Context
Title |
Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network
|
---|---|
Published in |
BMC Medical Imaging, December 2019
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DOI | 10.1186/s12880-019-0403-8 |
Pubmed ID | |
Authors |
Juhwan Lee, Yoo Na Hwang, Ga Young Kim, Ji Yean Kwon, Sung Min Kim |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 33% |
Other | 3 | 17% |
Researcher | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Unknown | 5 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 28% |
Engineering | 4 | 22% |
Computer Science | 3 | 17% |
Chemistry | 2 | 11% |
Nursing and Health Professions | 1 | 6% |
Other | 0 | 0% |
Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 May 2023.
All research outputs
#7,517,369
of 24,220,739 outputs
Outputs from BMC Medical Imaging
#96
of 635 outputs
Outputs of similar age
#156,295
of 464,642 outputs
Outputs of similar age from BMC Medical Imaging
#3
of 17 outputs
Altmetric has tracked 24,220,739 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 635 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 84% 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 464,642 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 65% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.