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Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature

Overview of attention for article published in Geomorphology, May 2007
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Mentioned by

patent
1 patent

Readers on

mendeley
417 Mendeley
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Title
Automated classifications of topography from DEMs by an unsupervised nested-means algorithm and a three-part geometric signature
Published in
Geomorphology, May 2007
DOI 10.1016/j.geomorph.2006.09.012
Authors

Junko Iwahashi, Richard J. Pike

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 <1%
Czechia 2 <1%
Canada 2 <1%
Mexico 2 <1%
Brazil 1 <1%
South Africa 1 <1%
Germany 1 <1%
Norway 1 <1%
Belgium 1 <1%
Other 5 1%
Unknown 398 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 23%
Researcher 87 21%
Student > Master 54 13%
Student > Doctoral Student 29 7%
Student > Bachelor 23 6%
Other 64 15%
Unknown 66 16%
Readers by discipline Count As %
Earth and Planetary Sciences 152 36%
Environmental Science 78 19%
Agricultural and Biological Sciences 32 8%
Engineering 26 6%
Computer Science 16 4%
Other 25 6%
Unknown 88 21%
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 15 July 2022.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Geomorphology
#839
of 2,319 outputs
Outputs of similar age
#31,533
of 88,571 outputs
Outputs of similar age from Geomorphology
#2
of 5 outputs
Altmetric has tracked 25,837,817 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 2,319 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one is in the 41st percentile – i.e., 41% 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 88,571 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.