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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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Mentioned by

twitter
2 tweeters

Readers on

mendeley
16 Mendeley
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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

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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 31%
Other 2 13%
Student > Bachelor 2 13%
Student > Master 2 13%
Researcher 2 13%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Medicine and Dentistry 4 25%
Computer Science 3 19%
Engineering 2 13%
Psychology 1 6%
Decision Sciences 1 6%
Other 1 6%
Unknown 4 25%

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 15 August 2019.
All research outputs
#10,848,157
of 14,280,939 outputs
Outputs from Journal of Digital Imaging
#535
of 709 outputs
Outputs of similar age
#173,191
of 254,348 outputs
Outputs of similar age from Journal of Digital Imaging
#15
of 17 outputs
Altmetric has tracked 14,280,939 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 709 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 17th percentile – i.e., 17% 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 254,348 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.