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Bone Health History in Breast Cancer Patients on Aromatase Inhibitors

Overview of attention for article published in PLOS ONE, October 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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3 X users

Citations

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16 Dimensions

Readers on

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61 Mendeley
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Title
Bone Health History in Breast Cancer Patients on Aromatase Inhibitors
Published in
PLOS ONE, October 2014
DOI 10.1371/journal.pone.0111477
Pubmed ID
Authors

Marilyn L. Kwan, Joan C. Lo, Li Tang, Cecile A. Laurent, Janise M. Roh, Malini Chandra, Theresa E. Hahn, Chi-Chen Hong, Lara Sucheston-Campbell, Dawn L. Hershman, Charles P. Quesenberry, Christine B. Ambrosone, Lawrence H. Kushi, Song Yao

Abstract

A cross-sectional study was performed to assess bone health history among aromatase inhibitor (AI) users before breast cancer (BC) diagnosis, which may impact fracture risk after AI therapy and choice of initial hormonal therapy. A total of 2,157 invasive BC patients initially treated with an AI were identified from a prospective cohort study at Kaiser Permanente Northern California (KPNC). Data on demographic and lifestyle factors were obtained from in-person interviews, and bone health history and clinical data from KPNC clinical databases. The prevalence of osteoporosis and fractures in postmenopausal AI users was assessed, compared with 325 postmenopausal TAM users. The associations of bone health history with demographic and lifestyle factors in AI users were also examined. Among all initial AI users, 11.2% had a prior history of osteoporosis, 16.3% had a prior history of any fracture, and 4.6% had a prior history of major fracture. Postmenopausal women who were taking TAM as their initial hormonal therapy had significantly higher prevalence of prior osteoporosis than postmenopausal AI users (21.5% vs. 11.8%, p<0.0001). Among initial AI users, the associations of history of osteoporosis and fracture in BC patients with demographic and lifestyle factors were, in general, consistent with those known in healthy older women. This study is one of the first to characterize AI users and risk factors for bone morbidity before BC diagnosis. In the future, this study will examine lifestyle, molecular, and genetic risk factors for AI-induced fractures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 12 20%
Student > Ph. D. Student 7 11%
Student > Postgraduate 6 10%
Researcher 4 7%
Student > Doctoral Student 4 7%
Other 13 21%
Unknown 15 25%
Readers by discipline Count As %
Medicine and Dentistry 21 34%
Nursing and Health Professions 5 8%
Agricultural and Biological Sciences 4 7%
Social Sciences 3 5%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 8 13%
Unknown 17 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 November 2014.
All research outputs
#13,066,090
of 22,769,322 outputs
Outputs from PLOS ONE
#102,984
of 194,248 outputs
Outputs of similar age
#120,088
of 260,656 outputs
Outputs of similar age from PLOS ONE
#2,274
of 5,181 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,248 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 46th percentile – i.e., 46% 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 260,656 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 5,181 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 55% of its contemporaries.