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Simulation of in vivo dynamics during robot assisted joint movement

Overview of attention for article published in BioMedical Engineering OnLine, December 2014
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Title
Simulation of in vivo dynamics during robot assisted joint movement
Published in
BioMedical Engineering OnLine, December 2014
DOI 10.1186/1475-925x-13-167
Pubmed ID
Authors

Evgenij Bobrowitsch, Andrea Lorenz, Nikolaus Wülker, Christian Walter

Abstract

Robots are very useful tools in orthopedic research. They can provide force/torque controlled specimen motion with high repeatability and precision. A method to analyze dissipative energy outcome in an entire joint was developed in our group. In a previous study, a sheep knee was flexed while axial load remained constant during the measurement of dissipated energy. We intend to apply this method for the investigation of osteoarthritis. Additionally, the method should be improved by simulation of in vivo knee dynamics. Thus, a new biomechanical testing tool will be developed for analyzing in vitro joint properties after different treatments.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 22%
Researcher 6 15%
Student > Ph. D. Student 5 12%
Student > Postgraduate 4 10%
Student > Bachelor 3 7%
Other 5 12%
Unknown 9 22%
Readers by discipline Count As %
Engineering 14 34%
Medicine and Dentistry 10 24%
Computer Science 2 5%
Veterinary Science and Veterinary Medicine 1 2%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 11 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 December 2014.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from BioMedical Engineering OnLine
#424
of 824 outputs
Outputs of similar age
#209,424
of 354,383 outputs
Outputs of similar age from BioMedical Engineering OnLine
#15
of 28 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 824 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 36th percentile – i.e., 36% 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 354,383 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.