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An algorithm for computing moments‐based flood quantile estimates when historical flood information is available

Overview of attention for article published in Water Resources Research, September 1997
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
53 Mendeley
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Title
An algorithm for computing moments‐based flood quantile estimates when historical flood information is available
Published in
Water Resources Research, September 1997
DOI 10.1029/97wr01640
Authors

T. A. Cohn, W. L. Lane, W. G. Baier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
France 1 2%
Australia 1 2%
Unknown 48 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 26%
Student > Ph. D. Student 11 21%
Professor > Associate Professor 5 9%
Lecturer 3 6%
Student > Master 3 6%
Other 9 17%
Unknown 8 15%
Readers by discipline Count As %
Earth and Planetary Sciences 17 32%
Engineering 14 26%
Environmental Science 7 13%
Physics and Astronomy 2 4%
Mathematics 1 2%
Other 2 4%
Unknown 10 19%
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 09 February 2017.
All research outputs
#8,158,306
of 24,458,924 outputs
Outputs from Water Resources Research
#1,954
of 5,105 outputs
Outputs of similar age
#9,812
of 30,527 outputs
Outputs of similar age from Water Resources Research
#3
of 9 outputs
Altmetric has tracked 24,458,924 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 5,105 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 30,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.