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Can a Machine Learn from Radiologists’ Visual Search Behaviour and Their Interpretation of Mammograms—a Deep-Learning Study

Overview of attention for article published in Journal of Digital Imaging, August 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
55 Mendeley
Title
Can a Machine Learn from Radiologists’ Visual Search Behaviour and Their Interpretation of Mammograms—a Deep-Learning Study
Published in
Journal of Digital Imaging, August 2019
DOI 10.1007/s10278-018-00174-z
Pubmed ID
Authors

Suneeta Mall, Patrick C. Brennan, Claudia Mello-Thoms

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 13%
Researcher 7 13%
Student > Bachelor 5 9%
Student > Master 5 9%
Other 4 7%
Other 4 7%
Unknown 23 42%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Computer Science 7 13%
Engineering 4 7%
Nursing and Health Professions 3 5%
Decision Sciences 2 4%
Other 4 7%
Unknown 27 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 November 2020.
All research outputs
#15,530,839
of 25,067,172 outputs
Outputs from Journal of Digital Imaging
#684
of 1,123 outputs
Outputs of similar age
#188,943
of 348,496 outputs
Outputs of similar age from Journal of Digital Imaging
#10
of 16 outputs
Altmetric has tracked 25,067,172 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 348,496 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% 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 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.