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Radiomics and Deep Learning in Clinical Imaging: What Should We Do?

Overview of attention for article published in Nuclear Medicine and Molecular Imaging, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
33 Mendeley
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Title
Radiomics and Deep Learning in Clinical Imaging: What Should We Do?
Published in
Nuclear Medicine and Molecular Imaging, March 2018
DOI 10.1007/s13139-018-0514-0
Pubmed ID
Authors

Joon Young Choi

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Bachelor 4 12%
Researcher 4 12%
Student > Master 4 12%
Other 2 6%
Other 5 15%
Unknown 7 21%
Readers by discipline Count As %
Computer Science 8 24%
Medicine and Dentistry 8 24%
Engineering 3 9%
Business, Management and Accounting 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 12 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 August 2018.
All research outputs
#12,872,744
of 23,028,364 outputs
Outputs from Nuclear Medicine and Molecular Imaging
#51
of 208 outputs
Outputs of similar age
#157,447
of 332,646 outputs
Outputs of similar age from Nuclear Medicine and Molecular Imaging
#1
of 4 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 75% 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 332,646 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 52% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them