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A rheological network model for the continuum anisotropic and viscoelastic behavior of soft tissue

Overview of attention for article published in Biomechanics & Modeling in Mechanobiology, July 2004
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
138 Mendeley
Title
A rheological network model for the continuum anisotropic and viscoelastic behavior of soft tissue
Published in
Biomechanics & Modeling in Mechanobiology, July 2004
DOI 10.1007/s10237-004-0049-4
Pubmed ID
Authors

Jeffrey E. Bischoff, Ellen M. Arruda, Karl Grosh

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Italy 2 1%
Turkey 2 1%
United States 2 1%
Mexico 1 <1%
Brazil 1 <1%
Unknown 126 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 35%
Researcher 25 18%
Professor 13 9%
Student > Master 12 9%
Student > Doctoral Student 8 6%
Other 21 15%
Unknown 11 8%
Readers by discipline Count As %
Engineering 86 62%
Agricultural and Biological Sciences 8 6%
Materials Science 7 5%
Mathematics 5 4%
Physics and Astronomy 4 3%
Other 10 7%
Unknown 18 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 October 2018.
All research outputs
#4,067,020
of 13,583,786 outputs
Outputs from Biomechanics & Modeling in Mechanobiology
#60
of 257 outputs
Outputs of similar age
#124,867
of 350,723 outputs
Outputs of similar age from Biomechanics & Modeling in Mechanobiology
#2
of 3 outputs
Altmetric has tracked 13,583,786 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 257 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 63% 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 350,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.