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Identifying streamgage networks for maximizing the effectiveness of regional water balance modeling

Overview of attention for article published in Water Resources Research, May 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
42 Mendeley
Title
Identifying streamgage networks for maximizing the effectiveness of regional water balance modeling
Published in
Water Resources Research, May 2013
DOI 10.1002/wrcr.20233
Authors

L. M. Fry, T. S. Hunter, M. S. Phanikumar, V. Fortin, A. D. Gronewold

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Korea, Republic of 1 2%
Belgium 1 2%
Canada 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 19%
Student > Master 7 17%
Researcher 7 17%
Student > Bachelor 3 7%
Lecturer 2 5%
Other 4 10%
Unknown 11 26%
Readers by discipline Count As %
Engineering 12 29%
Environmental Science 11 26%
Earth and Planetary Sciences 5 12%
Social Sciences 1 2%
Agricultural and Biological Sciences 1 2%
Other 0 0%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 August 2020.
All research outputs
#8,178,221
of 24,514,423 outputs
Outputs from Water Resources Research
#1,959
of 5,117 outputs
Outputs of similar age
#67,790
of 198,857 outputs
Outputs of similar age from Water Resources Research
#15
of 40 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,117 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 33rd percentile – i.e., 33% 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 198,857 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.