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Peripheral quantitative computed tomography (pQCT) for the assessment of bone strength in most of bone affecting conditions in developmental age: a review

Overview of attention for article published in Italian Journal of Pediatrics, September 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#48 of 920)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
66 Dimensions

Readers on

mendeley
149 Mendeley
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Title
Peripheral quantitative computed tomography (pQCT) for the assessment of bone strength in most of bone affecting conditions in developmental age: a review
Published in
Italian Journal of Pediatrics, September 2016
DOI 10.1186/s13052-016-0297-9
Pubmed ID
Authors

Stefano Stagi, Loredana Cavalli, Tiziana Cavalli, Maurizio de Martino, Maria Luisa Brandi

Abstract

Peripheral quantitative computed tomography provides an automatical scan analysis of trabecular and cortical bone compartments, calculating not only their bone mineral density (BMD), but also bone geometrical parameters, such as marrow and cortical Cross-Sectional Area (CSA), Cortical Thickness (CoTh), both periosteal and endosteal circumference, as well as biomechanical parameters like Cross-Sectional Moment of Inertia (CSMI), a measure of bending, polar moment of inertia, indicating bone strength in torsion, and Strength Strain Index (SSI). Also CSA of muscle and fat can be extracted. Muscles, which are thought to stimulate bones to adapt their geometry and mineral content, are determinant to preserve or increase bone strength; thus, pQCT provides an evaluation of the functional 'muscle-bone unit', defined as BMC/muscle CSA ratio. This functional approach to bone densitometry can establish if bone strength is normally adapted to the muscle force, and if muscle force is adequate for body size, providing more detailed insights to targeted strategies for the prevention and treatment of bone fragility. The present paper offers an extensive review of technical features of pQCT and its possible clinical application in the diagnostic of bone status as well as in the monitoring of the skeleton's health follow-up.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 21%
Student > Master 21 14%
Student > Bachelor 20 13%
Researcher 16 11%
Student > Doctoral Student 13 9%
Other 20 13%
Unknown 28 19%
Readers by discipline Count As %
Medicine and Dentistry 50 34%
Engineering 11 7%
Sports and Recreations 11 7%
Nursing and Health Professions 9 6%
Biochemistry, Genetics and Molecular Biology 9 6%
Other 24 16%
Unknown 35 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 08 July 2022.
All research outputs
#1,532,281
of 22,193,829 outputs
Outputs from Italian Journal of Pediatrics
#48
of 920 outputs
Outputs of similar age
#28,927
of 294,211 outputs
Outputs of similar age from Italian Journal of Pediatrics
#1
of 4 outputs
Altmetric has tracked 22,193,829 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 920 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% 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 294,211 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 90% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them