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Generation of subject-specific, dynamic, multisegment ankle and foot models to improve orthotic design: a feasibility study

Overview of attention for article published in BMC Musculoskeletal Disorders, November 2011
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Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Citations

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19 Dimensions

Readers on

mendeley
116 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
India 1 <1%
Sweden 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
Belgium 1 <1%
Japan 1 <1%
Germany 1 <1%
Unknown 107 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Researcher 22 19%
Student > Master 18 16%
Student > Bachelor 18 16%
Student > Doctoral Student 7 6%
Other 19 16%
Unknown 5 4%
Readers by discipline Count As %
Engineering 38 33%
Medicine and Dentistry 18 16%
Sports and Recreations 10 9%
Nursing and Health Professions 9 8%
Agricultural and Biological Sciences 5 4%
Other 16 14%
Unknown 20 17%

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
#6,984,128
of 12,373,620 outputs
Outputs from BMC Musculoskeletal Disorders
#1,215
of 2,454 outputs
Outputs of similar age
#55,587
of 105,779 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#89
of 165 outputs
Altmetric has tracked 12,373,620 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 105,779 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.