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Hydrologic Scales, Cloud Variability, Remote Sensing, and Models: Implications for Forecasting Snowmelt and Streamflow

Overview of attention for article published in Weather & Forecasting, April 2004
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Hydrologic Scales, Cloud Variability, Remote Sensing, and Models: Implications for Forecasting Snowmelt and Streamflow
Published in
Weather & Forecasting, April 2004
DOI 10.1175/1520-0434(2004)019<0251:hscvrs>2.0.co;2
Authors

James J. Simpson, Michael D. Dettinger, Frank Gehrke, Timothy J. McIntire, Gary L. Hufford

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 32%
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Professor > Associate Professor 4 12%
Professor 3 9%
Other 1 3%
Unknown 3 9%
Readers by discipline Count As %
Earth and Planetary Sciences 13 38%
Environmental Science 8 24%
Engineering 5 15%
Economics, Econometrics and Finance 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 4 12%
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 01 January 2006.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Weather & Forecasting
#478
of 1,287 outputs
Outputs of similar age
#21,865
of 64,948 outputs
Outputs of similar age from Weather & Forecasting
#7
of 11 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,287 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 36th percentile – i.e., 36% 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 64,948 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.