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Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer

Overview of attention for article published in Breast Cancer Research, October 2019
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Mentioned by

twitter
1 tweeter

Readers on

mendeley
3 Mendeley
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Title
Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer
Published in
Breast Cancer Research, October 2019
DOI 10.1186/s13058-019-1198-9
Authors

Kathleen R. Brandt, Christopher G. Scott, Diana L. Miglioretti, Matthew R. Jensen, Amir P. Mahmoudzadeh, Carrie Hruska, Lin Ma, Fang Fang Wu, Steven R. Cummings, Aaron D. Norman, Natalie J. Engmann, John A. Shepherd, Stacey J. Winham, Karla Kerlikowske, Celine M. Vachon

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%

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 30 October 2019.
All research outputs
#11,685,886
of 14,738,308 outputs
Outputs from Breast Cancer Research
#1,291
of 1,587 outputs
Outputs of similar age
#233,929
of 321,536 outputs
Outputs of similar age from Breast Cancer Research
#108
of 140 outputs
Altmetric has tracked 14,738,308 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one is in the 8th percentile – i.e., 8% 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 321,536 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.