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Using Geometrical, Textural, and Contextual Information of Land Parcels for Classification of Detailed Urban Land Use

Overview of attention for article published in Annals of the American Association of Geographers, January 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Using Geometrical, Textural, and Contextual Information of Land Parcels for Classification of Detailed Urban Land Use
Published in
Annals of the American Association of Geographers, January 2009
DOI 10.1080/00045600802459028
Authors

Shuo-Sheng Wu, Xiaomin Qiu, E. Lynn Usery, Le Wang

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%
Argentina 1 2%
Unknown 58 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 14 23%
Lecturer 4 7%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 8 13%
Unknown 12 20%
Readers by discipline Count As %
Environmental Science 15 25%
Earth and Planetary Sciences 12 20%
Agricultural and Biological Sciences 4 7%
Social Sciences 4 7%
Engineering 4 7%
Other 8 13%
Unknown 13 22%
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 26 February 2020.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Annals of the American Association of Geographers
#806
of 1,809 outputs
Outputs of similar age
#52,670
of 183,212 outputs
Outputs of similar age from Annals of the American Association of Geographers
#2
of 4 outputs
Altmetric has tracked 25,374,647 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 1,809 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 33rd percentile – i.e., 33% 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 183,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.