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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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4 X users
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Readers on

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75 Mendeley
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Article details
Title
Aging Versus Postmenopausal Osteoporosis: Bone Composition and Maturation Kinetics at Actively‐Forming Trabecular Surfaces of Female Subjects Aged 1 to 84 Years
Published in
Journal of Bone & Mineral Research, August 2015
DOI 10.1002/jbmr.2696
Pubmed ID
Authors
Abstract

Bone strength depends on the amount of bone, typically expressed as bone mineral density (BMD) determined by dual x-ray absorptiometry (DXA), and on bone quality. Bone quality is a multifactorial entity including bone structural and material compositional properties. The purpose of the present study was to examine whether bone material composition properties at actively bone forming trabecular surfaces in health are dependent on subject age, and to contrast them against postmenopausal osteoporosis patients. To achieve this, we analyzed by Raman microspectroscopy iliac crest biopsy samples from: healthy subjects aged 1.5-45.7 years, paired biopsy samples from females before and immediately after menopause aged 46.7-53.6 years, and biopsy samples from placebo-treated postmenopausal osteoporotic patients aged 66-84 years. The monitored parameters were: the mineral / matrix ratio; the mineral maturity / crystallinity (MMC); nanoporosity; the glycosaminoglycan (GAG) content; the lipid content; and the pyridinoline (Pyd) content. The results indicate that these bone quality parameters in healthy, actively forming trabecular bone surfaces are dependent on subject age at constant tissue age, suggesting that with advancing age the kinetics of maturation (either accumulation, or post-translational modifications, or both) change. For most parameters, the extrapolation of models fitted to the individual age dependence of bone in healthy individuals was in rough agreement with their values in postmenopausal osteoporotic patients, except MMC, lipid, and Pyd content. Amongst these 3, Pyd content showed the greatest deviation between healthy aging and disease, highlighting its potential to be used as a discriminating factor. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Student > Master 9 12%
Student > Bachelor 8 11%
Student > Doctoral Student 7 9%
Researcher 5 7%
Other 9 12%
Unknown 21 28%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 17%
Engineering 12 16%
Agricultural and Biological Sciences 5 7%
Medicine and Dentistry 5 7%
Materials Science 5 7%
Other 12 16%
Unknown 23 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 July 2020.
All research outputs
#12,301,216
of 34,410,798 outputs
Outputs from Journal of Bone & Mineral Research
#3,097
of 5,757 outputs
Outputs of similar age
#113,953
of 303,748 outputs
Outputs of similar age from Journal of Bone & Mineral Research
#24
of 52 outputs
Altmetric has tracked 34,410,798 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 5,757 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 45th percentile – i.e., 45% 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 303,748 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 62% of its contemporaries.
We're also able to compare this research output to 52 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 53% of its contemporaries.