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Mechanical Regulation of Bone Regeneration: Theories, Models, and Experiments

Overview of attention for article published in Frontiers in endocrinology, December 2014
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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Mechanical Regulation of Bone Regeneration: Theories, Models, and Experiments
Published in
Frontiers in endocrinology, December 2014
DOI 10.3389/fendo.2014.00211
Pubmed ID
Authors

Duncan Colin Betts, Ralph Müller

Abstract

How mechanical forces influence the regeneration of bone remains an open question. Their effect has been demonstrated experimentally, which has allowed mathematical theories of mechanically driven tissue differentiation to be developed. Many simulations driven by these theories have been presented, however, validation of these models has remained difficult due to the number of independent parameters considered. An overview of these theories and models is presented along with a review of experimental studies and the factors they consider. Finally limitations of current experimental data and how this influences modeling are discussed and potential solutions are proposed.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Denmark 1 <1%
Australia 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 18%
Researcher 27 18%
Student > Master 22 15%
Student > Doctoral Student 10 7%
Student > Postgraduate 10 7%
Other 28 19%
Unknown 24 16%
Readers by discipline Count As %
Engineering 55 37%
Medicine and Dentistry 19 13%
Agricultural and Biological Sciences 9 6%
Biochemistry, Genetics and Molecular Biology 9 6%
Materials Science 5 3%
Other 21 14%
Unknown 30 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 February 2015.
All research outputs
#14,772,367
of 25,374,647 outputs
Outputs from Frontiers in endocrinology
#3,021
of 13,012 outputs
Outputs of similar age
#186,211
of 368,312 outputs
Outputs of similar age from Frontiers in endocrinology
#17
of 65 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,012 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 76% 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 368,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 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 73% of its contemporaries.