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Computed tomography derived bone density measurement in the diabetic foot

Overview of attention for article published in Journal of Foot and Ankle Research, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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6 tweeters

Citations

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5 Dimensions

Readers on

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21 Mendeley
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Title
Computed tomography derived bone density measurement in the diabetic foot
Published in
Journal of Foot and Ankle Research, March 2017
DOI 10.1186/s13047-017-0192-7
Pubmed ID
Authors

Alex Barwick, John Tessier, James Mirow, Xanne Janse de Jonge, Vivienne Chuter

Abstract

The accurate and reliable measurement of foot bone density is challenging and there is currently no gold standard technique. Such measurement is particularly valuable in populations at risk of foot bone pathology such as in those with long term diabetes. With research and development, computed tomography may prove to be a useful tool for this assessment. The aim of this study was to establish the reliability of a novel method of foot bone density measurement in people with diabetes using computed tomography. Ten feet in people with diabetes were scanned with computed tomography twice with repositioning. Bone density (in Hounsfield units) was assessed in the trabecular and cortical bone in all tarsals and metatarsals. Reliability was assessed with intra-class correlation coefficients (95% confidence intervals), limits of agreement and standard error of measurement. The reliability of the trabecular density of most bones was excellent with intra-class correlation coefficients ranging from 0.68 to 0.91. Additionally, cortical bone density showed fair to good reliability at the talus (0.52), calcaneus (0.59), navicular (0.70), cuboid (0.69), intermediate cuneiform (0.46) and first metatarsal (0.61). The study established the reliability of a practical method of assessing the trabecular and cortical foot bone density using computed tomography scanning. This methodology may be useful in the investigation of foot bone disease occurring in diabetes and its early diagnosis, intervention and assessment of treatment efficacy. Further development of this method is warranted.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Researcher 4 19%
Student > Doctoral Student 4 19%
Student > Postgraduate 2 10%
Student > Master 2 10%
Other 4 19%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 7 33%
Agricultural and Biological Sciences 2 10%
Nursing and Health Professions 2 10%
Engineering 2 10%
Materials Science 1 5%
Other 1 5%
Unknown 6 29%

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 06 March 2017.
All research outputs
#2,091,880
of 9,153,782 outputs
Outputs from Journal of Foot and Ankle Research
#213
of 427 outputs
Outputs of similar age
#80,053
of 253,265 outputs
Outputs of similar age from Journal of Foot and Ankle Research
#9
of 15 outputs
Altmetric has tracked 9,153,782 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 49th percentile – i.e., 49% 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 253,265 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.