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Model analysis of check dam impacts on long-term sediment and water budgets in Southeast Arizona, USA

Overview of attention for article published in Ecohydrology & Hydrobiology, August 2016
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Mentioned by

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1 YouTube creator

Citations

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33 Dimensions

Readers on

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82 Mendeley
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Title
Model analysis of check dam impacts on long-term sediment and water budgets in Southeast Arizona, USA
Published in
Ecohydrology & Hydrobiology, August 2016
DOI 10.1016/j.ecohyd.2015.12.001
Authors

Laura M. Norman, Rewati Niraula

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Researcher 13 16%
Student > Master 11 13%
Student > Bachelor 4 5%
Lecturer 3 4%
Other 12 15%
Unknown 16 20%
Readers by discipline Count As %
Environmental Science 23 28%
Engineering 15 18%
Earth and Planetary Sciences 10 12%
Agricultural and Biological Sciences 8 10%
Chemical Engineering 2 2%
Other 3 4%
Unknown 21 26%
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 15 June 2022.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Ecohydrology & Hydrobiology
#97
of 106 outputs
Outputs of similar age
#339,043
of 381,036 outputs
Outputs of similar age from Ecohydrology & Hydrobiology
#2
of 2 outputs
Altmetric has tracked 25,373,627 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 106 research outputs from this source. They receive a mean Attention Score of 4.4. 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 381,036 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 2 others from the same source and published within six weeks on either side of this one.