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A depth-averaged debris-flow model that includes the effects of evolving dilatancy. II. Numerical predictions and experimental tests

Overview of attention for article published in Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2014
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Title
A depth-averaged debris-flow model that includes the effects of evolving dilatancy. II. Numerical predictions and experimental tests
Published in
Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, October 2014
DOI 10.1098/rspa.2013.0820
Authors

David L. George, Richard M. Iverson

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
France 1 <1%
Unknown 156 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 32%
Researcher 23 15%
Student > Master 20 13%
Student > Doctoral Student 12 8%
Professor > Associate Professor 6 4%
Other 16 10%
Unknown 31 20%
Readers by discipline Count As %
Engineering 65 41%
Earth and Planetary Sciences 28 18%
Environmental Science 9 6%
Mathematics 3 2%
Agricultural and Biological Sciences 2 1%
Other 7 4%
Unknown 44 28%
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 31 July 2014.
All research outputs
#23,399,134
of 26,069,033 outputs
Outputs from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#3,349
of 3,663 outputs
Outputs of similar age
#230,598
of 269,105 outputs
Outputs of similar age from Proceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences
#30
of 38 outputs
Altmetric has tracked 26,069,033 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 1st percentile – i.e., 1% 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 269,105 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.