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Application of SPARROW Modeling to Understanding Contaminant Fate and Transport from Uplands to Streams

Overview of attention for article published in Journal of the American Water Resources Association, May 2016
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Mentioned by

twitter
1 tweeter

Citations

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6 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Application of SPARROW Modeling to Understanding Contaminant Fate and Transport from Uplands to Streams
Published in
Journal of the American Water Resources Association, May 2016
DOI 10.1111/1752-1688.12419
Authors

Scott W. Ator, Ana Maria Garcia

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

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 4 24%
Student > Master 3 18%
Student > Bachelor 2 12%
Professor 1 6%
Other 2 12%
Unknown 1 6%
Readers by discipline Count As %
Environmental Science 8 47%
Agricultural and Biological Sciences 2 12%
Engineering 2 12%
Earth and Planetary Sciences 1 6%
Medicine and Dentistry 1 6%
Other 1 6%
Unknown 2 12%

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 26 June 2016.
All research outputs
#10,726,914
of 13,482,232 outputs
Outputs from Journal of the American Water Resources Association
#614
of 737 outputs
Outputs of similar age
#184,863
of 264,975 outputs
Outputs of similar age from Journal of the American Water Resources Association
#10
of 15 outputs
Altmetric has tracked 13,482,232 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 737 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 10th percentile – i.e., 10% 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 264,975 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.