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Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements

Overview of attention for article published in BMC Medical Imaging, September 2012
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1 tweeter

Citations

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Title
Dynamic ultrasound imaging—A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements
Published in
BMC Medical Imaging, September 2012
DOI 10.1186/1471-2342-12-29
Pubmed ID
Authors

Tommy Löfstedt, Olof Ahnlund, Michael Peolsson, Johan Trygg

Abstract

Muscle functions are generally assumed to affect a wide variety of conditions and activities, including pain, ischemic and neurological disorders, exercise and injury. It is therefore very desirable to obtain more information on musculoskeletal contributions to and activity during clinical processes such as the treatment of muscle injuries, post-surgery evaluations, and the monitoring of progressive degeneration in neuromuscular disorders.The spatial image resolution achievable with ultrasound systems has improved tremendously in the last few years and it is nowadays possible to study skeletal muscles in real-time during activity. However, ultrasound imaging has an inherent problem that makes it difficult to compare different measurement series or image sequences from two or more subjects. Due to physiological differences between different subjects, the ultrasound sequences will be visually different - partly because of variation in probe placement and partly because of the difficulty of perfectly reproducing any given movement.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 23%
Student > Master 17 23%
Researcher 7 10%
Student > Bachelor 6 8%
Student > Postgraduate 5 7%
Other 17 23%
Unknown 4 5%
Readers by discipline Count As %
Medicine and Dentistry 27 37%
Engineering 9 12%
Nursing and Health Professions 6 8%
Chemistry 4 5%
Sports and Recreations 3 4%
Other 14 19%
Unknown 10 14%

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 05 October 2012.
All research outputs
#13,174,468
of 16,578,610 outputs
Outputs from BMC Medical Imaging
#248
of 395 outputs
Outputs of similar age
#100,944
of 138,813 outputs
Outputs of similar age from BMC Medical Imaging
#1
of 1 outputs
Altmetric has tracked 16,578,610 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 395 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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