You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinspired Technologies to Connect Musculoskeletal Mechanobiology to the Person for Training and Rehabilitation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2017
|
| DOI | 10.3389/fncom.2017.00096 |
| Pubmed ID | |
| Authors |
Claudio Pizzolato, David G. Lloyd, Rod S. Barrett, Jill L. Cook, Ming H. Zheng, Thor F. Besier, David J. Saxby |
| Abstract |
Musculoskeletal tissues respond to optimal mechanical signals (e.g., strains) through anabolic adaptations, while mechanical signals above and below optimal levels cause tissue catabolism. If an individual's physical behavior could be altered to generate optimal mechanical signaling to musculoskeletal tissues, then targeted strengthening and/or repair would be possible. We propose new bioinspired technologies to provide real-time biofeedback of relevant mechanical signals to guide training and rehabilitation. In this review we provide a description of how wearable devices may be used in conjunction with computational rigid-body and continuum models of musculoskeletal tissues to produce real-time estimates of localized tissue stresses and strains. It is proposed that these bioinspired technologies will facilitate a new approach to physical training that promotes tissue strengthening and/or repair through optimal tissue loading. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 5 | 22% |
| Canada | 2 | 9% |
| United States | 2 | 9% |
| New Zealand | 1 | 4% |
| Belgium | 1 | 4% |
| Switzerland | 1 | 4% |
| Spain | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 13 | 57% |
| Members of the public | 10 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 154 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 16% |
| Student > Bachelor | 21 | 14% |
| Student > Master | 18 | 12% |
| Researcher | 17 | 11% |
| Student > Doctoral Student | 9 | 6% |
| Other | 26 | 17% |
| Unknown | 39 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 39 | 25% |
| Sports and Recreations | 16 | 10% |
| Medicine and Dentistry | 15 | 10% |
| Nursing and Health Professions | 11 | 7% |
| Business, Management and Accounting | 3 | 2% |
| Other | 15 | 10% |
| Unknown | 55 | 36% |
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 10 December 2020.
All research outputs
#1,751,546
of 24,044,816 outputs
Outputs from Frontiers in Computational Neuroscience
#64
of 1,397 outputs
Outputs of similar age
#35,928
of 330,710 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#2
of 31 outputs
Altmetric has tracked 24,044,816 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,397 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 95% 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 330,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.