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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 (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 tweeter
wikipedia
1 Wikipedia page

Citations

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245 Dimensions

Readers on

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64 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.

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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 25%
Researcher 10 16%
Student > Master 7 11%
Professor > Associate Professor 7 11%
Student > Doctoral Student 5 8%
Other 19 30%
Readers by discipline Count As %
Medicine and Dentistry 29 45%
Agricultural and Biological Sciences 10 16%
Unspecified 6 9%
Nursing and Health Professions 6 9%
Social Sciences 4 6%
Other 9 14%

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
#3,327,717
of 12,959,872 outputs
Outputs from Osteoporosis International
#652
of 2,608 outputs
Outputs of similar age
#74,992
of 264,398 outputs
Outputs of similar age from Osteoporosis International
#18
of 74 outputs
Altmetric has tracked 12,959,872 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,608 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 74% 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 264,398 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 71% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.