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A modular approach to addressing model design, scale, and parameter estimation issues in distributed hydrological modelling

Overview of attention for article published in Hydrological Processes, January 2002
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Mentioned by

patent
1 patent

Citations

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126 Dimensions

Readers on

mendeley
116 Mendeley
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Title
A modular approach to addressing model design, scale, and parameter estimation issues in distributed hydrological modelling
Published in
Hydrological Processes, January 2002
DOI 10.1002/hyp.344
Authors

G. H. Leavesley, S. L. Markstrom, P. J. Restrepo, R. J. Viger

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 1 <1%
France 1 <1%
Colombia 1 <1%
Ghana 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Norway 1 <1%
Belgium 1 <1%
Other 3 3%
Unknown 101 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 30%
Researcher 18 16%
Student > Master 11 9%
Other 8 7%
Professor > Associate Professor 8 7%
Other 24 21%
Unknown 12 10%
Readers by discipline Count As %
Earth and Planetary Sciences 33 28%
Engineering 27 23%
Environmental Science 25 22%
Computer Science 5 4%
Mathematics 2 2%
Other 6 5%
Unknown 18 16%
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
#8,142,437
of 24,417,958 outputs
Outputs from Hydrological Processes
#737
of 2,036 outputs
Outputs of similar age
#31,737
of 128,672 outputs
Outputs of similar age from Hydrological Processes
#16
of 44 outputs
Altmetric has tracked 24,417,958 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 2,036 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 37th percentile – i.e., 37% 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 128,672 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 44 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.