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Use of Medium-Range Numerical Weather Prediction Model Output to Produce Forecasts of Streamflow

Overview of attention for article published in Journal of Hydrometeorology, February 2004
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Mentioned by

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1 patent

Readers on

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118 Mendeley
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Title
Use of Medium-Range Numerical Weather Prediction Model Output to Produce Forecasts of Streamflow
Published in
Journal of Hydrometeorology, February 2004
DOI 10.1175/1525-7541(2004)005<0015:uomnwp>2.0.co;2
Authors

Martyn P. Clark, Lauren E. Hay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
Italy 1 <1%
Unknown 112 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 25 21%
Student > Master 19 16%
Student > Postgraduate 5 4%
Student > Doctoral Student 5 4%
Other 18 15%
Unknown 18 15%
Readers by discipline Count As %
Engineering 33 28%
Earth and Planetary Sciences 29 25%
Environmental Science 16 14%
Agricultural and Biological Sciences 4 3%
Computer Science 3 3%
Other 7 6%
Unknown 26 22%
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 08 August 2013.
All research outputs
#7,550,598
of 23,035,022 outputs
Outputs from Journal of Hydrometeorology
#333
of 1,027 outputs
Outputs of similar age
#34,064
of 134,107 outputs
Outputs of similar age from Journal of Hydrometeorology
#4
of 10 outputs
Altmetric has tracked 23,035,022 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 1,027 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 134,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 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.