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Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

Overview of attention for article published in Breast Cancer Research, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds
Published in
Breast Cancer Research, December 2018
DOI 10.1186/s13058-018-1081-0
Pubmed ID
Authors

Tuong L. Nguyen, Ye K. Aung, Shuai Li, Nhut Ho Trinh, Christopher F. Evans, Laura Baglietto, Kavitha Krishnan, Gillian S. Dite, Jennifer Stone, Dallas R. English, Yun-Mi Song, Joohon Sung, Mark A. Jenkins, Melissa C. Southey, Graham G. Giles, John L. Hopper

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Researcher 6 15%
Student > Master 4 10%
Lecturer 1 3%
Student > Bachelor 1 3%
Other 3 8%
Unknown 16 41%
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Nursing and Health Professions 5 13%
Engineering 2 5%
Biochemistry, Genetics and Molecular Biology 1 3%
Agricultural and Biological Sciences 1 3%
Other 4 10%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 20 December 2018.
All research outputs
#3,711,927
of 25,385,509 outputs
Outputs from Breast Cancer Research
#438
of 2,054 outputs
Outputs of similar age
#80,200
of 444,418 outputs
Outputs of similar age from Breast Cancer Research
#18
of 38 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 78% 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 444,418 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.