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Characterizing natural riparian vegetation for modeling of flow and suspended sediment transport

Overview of attention for article published in Journal of Soils and Sediments, July 2017
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Mentioned by

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2 X users

Citations

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60 Dimensions

Readers on

mendeley
76 Mendeley
Title
Characterizing natural riparian vegetation for modeling of flow and suspended sediment transport
Published in
Journal of Soils and Sediments, July 2017
DOI 10.1007/s11368-017-1776-3
Authors

Kaisa Västilä, Juha Järvelä

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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 21%
Researcher 10 13%
Student > Bachelor 6 8%
Student > Master 5 7%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 24 32%
Readers by discipline Count As %
Engineering 15 20%
Environmental Science 13 17%
Earth and Planetary Sciences 9 12%
Agricultural and Biological Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 3 4%
Unknown 31 41%
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 23 August 2017.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from Journal of Soils and Sediments
#392
of 598 outputs
Outputs of similar age
#214,051
of 328,118 outputs
Outputs of similar age from Journal of Soils and Sediments
#5
of 7 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 598 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 23rd percentile – i.e., 23% 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 328,118 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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.