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Statistically Extracted Fundamental Watershed Variables for Estimating the Loads of Total Nitrogen in Small Streams

Overview of attention for article published in Environmental Modeling & Assessment, July 2016
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1 Facebook page

Citations

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2 Dimensions

Readers on

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12 Mendeley
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Title
Statistically Extracted Fundamental Watershed Variables for Estimating the Loads of Total Nitrogen in Small Streams
Published in
Environmental Modeling & Assessment, July 2016
DOI 10.1007/s10666-016-9525-3
Authors

Scott C. Kronholm, Paul D. Capel, Silvia Terziotti

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Other 2 17%
Student > Master 2 17%
Student > Bachelor 1 8%
Professor 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Environmental Science 4 33%
Agricultural and Biological Sciences 3 25%
Earth and Planetary Sciences 2 17%
Medicine and Dentistry 1 8%
Unknown 2 17%
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 10 November 2016.
All research outputs
#20,351,881
of 22,899,952 outputs
Outputs from Environmental Modeling & Assessment
#134
of 144 outputs
Outputs of similar age
#319,858
of 365,365 outputs
Outputs of similar age from Environmental Modeling & Assessment
#3
of 3 outputs
Altmetric has tracked 22,899,952 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 144 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. 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 365,365 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 3 others from the same source and published within six weeks on either side of this one.