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Applications of hydrologic information automatically extracted from digital elevation models

Overview of attention for article published in Hydrological Processes, September 2006
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Mentioned by

patent
2 patents

Citations

dimensions_citation
170 Dimensions

Readers on

mendeley
141 Mendeley
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Title
Applications of hydrologic information automatically extracted from digital elevation models
Published in
Hydrological Processes, September 2006
DOI 10.1002/hyp.3360050104
Authors

Susan K. Jenson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
United States 2 1%
Ghana 1 <1%
Australia 1 <1%
India 1 <1%
Switzerland 1 <1%
Iran, Islamic Republic of 1 <1%
Ecuador 1 <1%
Canada 1 <1%
Other 1 <1%
Unknown 129 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 21%
Student > Master 26 18%
Researcher 25 18%
Student > Bachelor 11 8%
Professor > Associate Professor 9 6%
Other 23 16%
Unknown 18 13%
Readers by discipline Count As %
Earth and Planetary Sciences 47 33%
Environmental Science 33 23%
Engineering 22 16%
Agricultural and Biological Sciences 9 6%
Computer Science 3 2%
Other 4 3%
Unknown 23 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 27 October 2015.
All research outputs
#8,142,437
of 24,417,958 outputs
Outputs from Hydrological Processes
#737
of 2,036 outputs
Outputs of similar age
#24,748
of 70,084 outputs
Outputs of similar age from Hydrological Processes
#1
of 1 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 70,084 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them