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Technical and clinical overview of deep learning in radiology

Overview of attention for article published in Japanese Journal of Radiology, December 2018
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Mentioned by

twitter
2 tweeters

Citations

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5 Dimensions

Readers on

mendeley
34 Mendeley
Title
Technical and clinical overview of deep learning in radiology
Published in
Japanese Journal of Radiology, December 2018
DOI 10.1007/s11604-018-0795-3
Pubmed ID
Authors

Daiju Ueda, Akitoshi Shimazaki, Yukio Miki

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 18%
Student > Bachelor 5 15%
Student > Master 4 12%
Student > Ph. D. Student 4 12%
Other 3 9%
Other 12 35%
Readers by discipline Count As %
Medicine and Dentistry 14 41%
Computer Science 8 24%
Unspecified 7 21%
Nursing and Health Professions 3 9%
Business, Management and Accounting 1 3%
Other 1 3%

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 07 December 2018.
All research outputs
#10,399,201
of 13,040,640 outputs
Outputs from Japanese Journal of Radiology
#83
of 154 outputs
Outputs of similar age
#239,977
of 319,416 outputs
Outputs of similar age from Japanese Journal of Radiology
#8
of 9 outputs
Altmetric has tracked 13,040,640 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 154 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 20th percentile – i.e., 20% 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 319,416 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.