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Application of ultrasound imaging to subject-specific modelling of the human musculoskeletal system

Overview of attention for article published in Meccanica, June 2016
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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21 Dimensions

Readers on

mendeley
91 Mendeley
Title
Application of ultrasound imaging to subject-specific modelling of the human musculoskeletal system
Published in
Meccanica, June 2016
DOI 10.1007/s11012-016-0478-z
Authors

Elyse Passmore, Adrian Lai, Morgan Sangeux, Anthony G. Schache, Marcus G. Pandy

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Researcher 13 14%
Student > Ph. D. Student 13 14%
Student > Doctoral Student 8 9%
Student > Bachelor 7 8%
Other 13 14%
Unknown 20 22%
Readers by discipline Count As %
Engineering 23 25%
Sports and Recreations 15 16%
Medicine and Dentistry 10 11%
Nursing and Health Professions 4 4%
Agricultural and Biological Sciences 2 2%
Other 9 10%
Unknown 28 31%
Attention Score in Context

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 03 August 2018.
All research outputs
#13,476,177
of 22,881,964 outputs
Outputs from Meccanica
#73
of 159 outputs
Outputs of similar age
#186,717
of 351,538 outputs
Outputs of similar age from Meccanica
#3
of 5 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 159 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 52% 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 351,538 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.