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Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution

Overview of attention for article published in Cancer Imaging, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution
Published in
Cancer Imaging, September 2019
DOI 10.1186/s40644-019-0252-2
Pubmed ID
Authors

Yu Ji, Hui Li, Alexandra V. Edwards, John Papaioannou, Wenjuan Ma, Peifang Liu, Maryellen L. Giger

Twitter Demographics

The data shown below were collected from the profiles of 6 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 10%
Researcher 8 10%
Student > Bachelor 7 9%
Student > Postgraduate 4 5%
Professor > Associate Professor 4 5%
Other 16 21%
Unknown 30 39%
Readers by discipline Count As %
Medicine and Dentistry 15 19%
Computer Science 10 13%
Engineering 5 6%
Nursing and Health Professions 3 4%
Physics and Astronomy 2 3%
Other 10 13%
Unknown 32 42%

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 30 October 2019.
All research outputs
#5,276,353
of 16,669,654 outputs
Outputs from Cancer Imaging
#67
of 483 outputs
Outputs of similar age
#106,656
of 272,758 outputs
Outputs of similar age from Cancer Imaging
#1
of 1 outputs
Altmetric has tracked 16,669,654 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 483 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 86% 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 272,758 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 60% of its contemporaries.
We're also able to compare this research output to 1 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