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A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins

Overview of attention for article published in Geophysical Research Letters, September 2014
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Mentioned by

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1 tweeter

Citations

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84 Dimensions

Readers on

mendeley
131 Mendeley
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Title
A hydrogeomorphic river network model predicts where and why hyporheic exchange is important in large basins
Published in
Geophysical Research Letters, September 2014
DOI 10.1002/2014gl061099
Authors

Jesus D. Gomez-Velez, Judson W. Harvey

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Colombia 1 <1%
Unknown 128 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 37%
Researcher 22 17%
Student > Master 17 13%
Professor > Associate Professor 7 5%
Student > Doctoral Student 6 5%
Other 18 14%
Unknown 13 10%
Readers by discipline Count As %
Environmental Science 48 37%
Earth and Planetary Sciences 37 28%
Engineering 19 15%
Agricultural and Biological Sciences 7 5%
Unknown 20 15%

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 28 August 2014.
All research outputs
#10,938,194
of 12,342,171 outputs
Outputs from Geophysical Research Letters
#9,211
of 12,072 outputs
Outputs of similar age
#169,942
of 208,503 outputs
Outputs of similar age from Geophysical Research Letters
#184
of 305 outputs
Altmetric has tracked 12,342,171 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 12,072 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. 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 208,503 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 305 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.