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Hydrography Change Detection: The Usefulness of Surface Channels Derived From LiDAR DEMs for Updating Mapped Hydrography1

Overview of attention for article published in Journal of the American Water Resources Association, January 2013
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1 X user

Citations

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25 Dimensions

Readers on

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60 Mendeley
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Title
Hydrography Change Detection: The Usefulness of Surface Channels Derived From LiDAR DEMs for Updating Mapped Hydrography1
Published in
Journal of the American Water Resources Association, January 2013
DOI 10.1111/jawr.12027
Authors

Sandra K. Poppenga, Dean B. Gesch, Bruce B. Worstell

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Canada 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Researcher 12 20%
Student > Ph. D. Student 9 15%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 12 20%
Unknown 5 8%
Readers by discipline Count As %
Environmental Science 20 33%
Earth and Planetary Sciences 17 28%
Engineering 10 17%
Agricultural and Biological Sciences 5 8%
Computer Science 2 3%
Other 1 2%
Unknown 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 January 2013.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Journal of the American Water Resources Association
#1,090
of 1,176 outputs
Outputs of similar age
#258,552
of 290,075 outputs
Outputs of similar age from Journal of the American Water Resources Association
#3
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,176 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 1st percentile – i.e., 1% 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 290,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.