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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
32 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

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 34%
Student > Ph. D. Student 7 22%
Student > Master 5 16%
Professor > Associate Professor 4 13%
Professor 3 9%
Other 1 3%
Unknown 1 3%
Readers by discipline Count As %
Earth and Planetary Sciences 13 41%
Environmental Science 8 25%
Engineering 5 16%
Economics, Econometrics and Finance 1 3%
Computer Science 1 3%
Other 2 6%
Unknown 2 6%

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
#5,609,060
of 17,363,630 outputs
Outputs from Weather & Forecasting
#308
of 928 outputs
Outputs of similar age
#102,351
of 268,058 outputs
Outputs of similar age from Weather & Forecasting
#5
of 28 outputs
Altmetric has tracked 17,363,630 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. 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 268,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.