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Classification of California streams using combined deductive and inductive approaches: Setting the foundation for analysis of hydrologic alteration

Overview of attention for article published in Ecohydrology, February 2017
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1 X user

Citations

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46 Mendeley
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Title
Classification of California streams using combined deductive and inductive approaches: Setting the foundation for analysis of hydrologic alteration
Published in
Ecohydrology, February 2017
DOI 10.1002/eco.1802
Authors

Matthew I. Pyne, Daren M. Carlisle, Cristopher P. Konrad, Eric D. Stein

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X Demographics

The data shown below were collected from the profile of 1 X user 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Brazil 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 9 20%
Student > Ph. D. Student 8 17%
Other 3 7%
Student > Bachelor 3 7%
Other 6 13%
Unknown 7 15%
Readers by discipline Count As %
Environmental Science 14 30%
Earth and Planetary Sciences 6 13%
Agricultural and Biological Sciences 4 9%
Engineering 4 9%
Business, Management and Accounting 2 4%
Other 5 11%
Unknown 11 24%
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 20 October 2016.
All research outputs
#21,913,996
of 24,451,065 outputs
Outputs from Ecohydrology
#507
of 777 outputs
Outputs of similar age
#365,613
of 428,646 outputs
Outputs of similar age from Ecohydrology
#24
of 39 outputs
Altmetric has tracked 24,451,065 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 777 research outputs from this source. They receive a mean Attention Score of 3.9. 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 428,646 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 39 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.