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Digital Mammography and Screening for Coronary Artery Disease

Overview of attention for article published in JACC: Cardiovascular Imaging, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 2,701)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
25 news outlets
blogs
3 blogs
twitter
27 X users
patent
3 patents
facebook
6 Facebook pages
video
1 YouTube creator

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
94 Mendeley
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Title
Digital Mammography and Screening for Coronary Artery Disease
Published in
JACC: Cardiovascular Imaging, April 2016
DOI 10.1016/j.jcmg.2015.10.022
Pubmed ID
Authors

Laurie Margolies, Mary Salvatore, Harvey S. Hecht, Sean Kotkin, Rowena Yip, Usman Baber, Vivian Bishay, Jagat Narula, David Yankelevitz, Claudia Henschke

Abstract

This study sought to determine if breast arterial calcification (BAC) on digital mammography predicts coronary artery calcification (CAC). BAC is frequently noted but the quantitative relationships to CAC and risk factors are unknown. A total of 292 women with digital mammography and nongated computed tomography was evaluated. BAC was quantitatively evaluated (0 to 12) and CAC was measured on computed tomography using a 0 to 12 score; they were correlated with each other and the Framingham Risk Score (FRS) and the 2013 Cholesterol Guidelines Pooled Cohort Equations (PCE). BAC was noted in 42.5% and was associated with increasing age (p < 0.0001), hypertension (p = 0.0007), and chronic kidney disease (p < 0.0001). The sensitivity, specificity, positive and negative predictive values, and accuracy of BAC >0 for CAC >0 were 63%, 76%, 70%, 69%, and 70%, respectively. All BAC variables were predictive of the CAC score (p < 0.0001). The multivariable odds ratio for CAC >0 was 3.2 for BAC 4 to 12, 2.0 for age, and 2.2 for hypertension. The agreements of FRS risk categories with CAC and BAC risk categories were 57% for CAC and 55% for BAC; the agreement was 47% for PCE risk categories for CAC and 54% by BAC. BAC >0 had area under the curve of 0.73 for identification of women with CAC >0, equivalent to both FRS (0.72) and PCE (0.71). BAC >0 increased the area under the curve curves for FRS (0.72 to 0.77; p = 0.15) and PCE (0.71 to 0.76; p = 0.11) for the identification of high-risk (4 to 12) CAC. With the inclusion of 33 women with established CAD, BAC >0 was significantly additive to both FRS (p = 0.02) and PCE (p = 0.04) for high-risk CAC. There is a strong quantitative association of BAC with CAC. BAC is superior to standard cardiovascular risk factors. BAC is equivalent to both the FRS and PCE for the identification of high-risk women and is additive when women with established CAD are included.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 93 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 13%
Researcher 11 12%
Student > Master 11 12%
Student > Ph. D. Student 9 10%
Student > Doctoral Student 7 7%
Other 23 24%
Unknown 21 22%
Readers by discipline Count As %
Medicine and Dentistry 43 46%
Computer Science 5 5%
Engineering 5 5%
Nursing and Health Professions 2 2%
Physics and Astronomy 2 2%
Other 10 11%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 242. 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 April 2022.
All research outputs
#155,131
of 25,394,764 outputs
Outputs from JACC: Cardiovascular Imaging
#14
of 2,701 outputs
Outputs of similar age
#2,827
of 314,824 outputs
Outputs of similar age from JACC: Cardiovascular Imaging
#1
of 64 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.1. This one has done particularly well, scoring higher than 99% 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 314,824 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.