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A Continuum Mechanics Model of Enzyme-Based Tissue Degradation in Cancer Therapies

Overview of attention for article published in Bulletin of Mathematical Biology, October 2018
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2 X users

Citations

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Readers on

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9 Mendeley
Title
A Continuum Mechanics Model of Enzyme-Based Tissue Degradation in Cancer Therapies
Published in
Bulletin of Mathematical Biology, October 2018
DOI 10.1007/s11538-018-0515-2
Pubmed ID
Authors

Manon Deville, Roberto Natalini, Clair Poignard

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Student > Ph. D. Student 1 11%
Student > Doctoral Student 1 11%
Professor > Associate Professor 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Chemical Engineering 1 11%
Mathematics 1 11%
Psychology 1 11%
Physics and Astronomy 1 11%
Materials Science 1 11%
Other 1 11%
Unknown 3 33%
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 19 October 2018.
All research outputs
#15,547,925
of 23,106,934 outputs
Outputs from Bulletin of Mathematical Biology
#728
of 1,106 outputs
Outputs of similar age
#216,087
of 344,569 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#27
of 40 outputs
Altmetric has tracked 23,106,934 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 1,106 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 344,569 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.