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Biochemical Measurements of Bone Turnover in Children and Adolescents

Overview of attention for article published in Osteoporosis International, May 2000
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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1 X user
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1 Wikipedia page

Citations

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322 Dimensions

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115 Mendeley
Title
Biochemical Measurements of Bone Turnover in Children and Adolescents
Published in
Osteoporosis International, May 2000
DOI 10.1007/s001980070116
Pubmed ID
Authors

P. Szulc, E. Seeman, P. D. Delmas

Abstract

Biochemical measurements of bone turnover are helpful in the study of the pathophysiology of skeletal metabolism and growth. However, interpretation of their results is difficult because they depend on age, pubertal stage, growth velocity, mineral accrual, hormonal regulation, nutritional status, circadian variation, day-to-day variation, method of expression of results of urinary markers, specificity for bone tissue, sensitivity and specificity of assays. Three markers of bone formation have been described including their bone specificity and age-related changes: osteocalcin, alkaline phosphatase and its skeletal isoenzyme, procollagen I extension peptides. Bone resorption markers (hydroxyproline; deoxypyridinoline; pyridinoline; peptides containing these crosslinks such as N-telopeptide to helix in urine (NTX), C-telopeptide-1 to helix in serum (ICTP) and C-telopeptide-2 in urine and serum (CTX); tartrate-resistant acid phosphatase; hydroxylysine and its glycosides) are described with special attention to methodologic issues, mainly ways of expression of their results. Changes of bone turnover during growth are described during four periods: infancy, prepubertal period, puberty and the postpubertal period. Pubertal changes of bone markers are described with special attention to gender differences and hormonal mechanisms of the growth spurt which determine differences related to the pubertal stage. Disturbances of bone turnover in four conditions are described to illustrate the impact of such diseases on growth and formation of peak bone mass: prematurity, malnutrition, growth hormone deficiency and corticosteroid-treated bronchial asthma. Available data suggest biochemical markers of bone remodeling may be useful in the clinical investigation of bone turnover in children in health and disease. However, their use in everyday clinical practice is not advised at present.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 19%
Researcher 16 14%
Student > Master 13 11%
Student > Bachelor 10 9%
Professor > Associate Professor 8 7%
Other 24 21%
Unknown 22 19%
Readers by discipline Count As %
Medicine and Dentistry 37 32%
Agricultural and Biological Sciences 10 9%
Biochemistry, Genetics and Molecular Biology 9 8%
Nursing and Health Professions 8 7%
Social Sciences 6 5%
Other 17 15%
Unknown 28 24%
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 18 November 2018.
All research outputs
#7,135,085
of 23,305,591 outputs
Outputs from Osteoporosis International
#1,259
of 3,698 outputs
Outputs of similar age
#12,303
of 39,724 outputs
Outputs of similar age from Osteoporosis International
#4
of 10 outputs
Altmetric has tracked 23,305,591 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 3,698 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 64% 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 39,724 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 68% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.