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Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
90 Mendeley
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Title
Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study
Published in
Cancer Imaging, June 2019
DOI 10.1186/s40644-019-0227-3
Pubmed ID
Authors

Benjamin Hinton, Lin Ma, Amir Pasha Mahmoudzadeh, Serghei Malkov, Bo Fan, Heather Greenwood, Bonnie Joe, Vivian Lee, Karla Kerlikowske, John Shepherd

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 14%
Student > Master 11 12%
Student > Bachelor 10 11%
Researcher 9 10%
Professor > Associate Professor 4 4%
Other 16 18%
Unknown 27 30%
Readers by discipline Count As %
Computer Science 22 24%
Medicine and Dentistry 22 24%
Engineering 7 8%
Nursing and Health Professions 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 4 4%
Unknown 31 34%
Attention Score in Context

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 04 September 2019.
All research outputs
#7,774,866
of 25,385,509 outputs
Outputs from Cancer Imaging
#98
of 674 outputs
Outputs of similar age
#132,041
of 367,168 outputs
Outputs of similar age from Cancer Imaging
#4
of 29 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 674 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done well, scoring higher than 85% 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 367,168 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 63% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.