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Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network

Overview of attention for article published in Journal of Digital Imaging, August 2019
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Mentioned by

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1 X user

Citations

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12 Dimensions

Readers on

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19 Mendeley
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Title
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network
Published in
Journal of Digital Imaging, August 2019
DOI 10.1007/s10278-019-00264-6
Pubmed ID
Authors

Hiroki Kobayashi, Ryohei Nakayama, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa, Hajime Sakuma

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

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 26%
Student > Master 4 21%
Student > Ph. D. Student 2 11%
Unspecified 2 11%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 6 32%
Unspecified 2 11%
Engineering 2 11%
Medicine and Dentistry 2 11%
Nursing and Health Professions 1 5%
Other 0 0%
Unknown 6 32%
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 28 August 2019.
All research outputs
#20,577,025
of 23,154,520 outputs
Outputs from Journal of Digital Imaging
#951
of 1,070 outputs
Outputs of similar age
#288,971
of 340,126 outputs
Outputs of similar age from Journal of Digital Imaging
#15
of 16 outputs
Altmetric has tracked 23,154,520 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 340,126 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 16 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.