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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Generation of subject-specific, dynamic, multisegment ankle and foot models to improve orthotic design: a feasibility study
|
|---|---|
| Published in |
BMC Musculoskeletal Disorders, November 2011
|
| DOI | 10.1186/1471-2474-12-256 |
| Pubmed ID | |
| Authors |
Michiel Oosterwaal, Scott Telfer, Søren Tørholm, Sylvain Carbes, Lodewijk W van Rhijn, Ross Macduff, Kenneth Meijer, Jim Woodburn |
| Abstract |
Currently, custom foot and ankle orthosis prescription and design tend to be based on traditional techniques, which can result in devices which vary greatly between clinicians and repeat prescription. The use of computational models of the foot may give further insight in the biomechanical effects of these devices and allow a more standardised approach to be taken to their design, however due to the complexity of the foot the models must be highly detailed and dynamic. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Japan | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 176 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 17% |
| Student > Master | 27 | 15% |
| Student > Bachelor | 27 | 15% |
| Researcher | 23 | 12% |
| Student > Doctoral Student | 12 | 6% |
| Other | 27 | 15% |
| Unknown | 38 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 47 | 25% |
| Medicine and Dentistry | 25 | 14% |
| Nursing and Health Professions | 16 | 9% |
| Sports and Recreations | 14 | 8% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 19 | 10% |
| Unknown | 60 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 November 2011.
All research outputs
#13,860,586
of 22,656,971 outputs
Outputs from BMC Musculoskeletal Disorders
#2,013
of 4,024 outputs
Outputs of similar age
#90,356
of 142,871 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#45
of 69 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,024 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 48th percentile – i.e., 48% 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 142,871 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.