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Scaling up: linking field data and remote sensing with a hierarchical model

Overview of attention for article published in International Journal of Geographical Information Science, March 2011
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1 X user

Citations

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32 Dimensions

Readers on

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128 Mendeley
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Title
Scaling up: linking field data and remote sensing with a hierarchical model
Published in
International Journal of Geographical Information Science, March 2011
DOI 10.1080/13658816.2010.522779
Authors

Adam M. Wilson, John A. Silander, Alan Gelfand, Jonathan H. Glenn

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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Australia 2 2%
Canada 2 2%
Netherlands 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
Germany 1 <1%
South Africa 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 115 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 25%
Researcher 31 24%
Student > Master 15 12%
Professor > Associate Professor 8 6%
Student > Postgraduate 6 5%
Other 20 16%
Unknown 16 13%
Readers by discipline Count As %
Environmental Science 43 34%
Agricultural and Biological Sciences 29 23%
Earth and Planetary Sciences 19 15%
Engineering 4 3%
Computer Science 3 2%
Other 8 6%
Unknown 22 17%
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 21 October 2018.
All research outputs
#20,945,803
of 25,726,194 outputs
Outputs from International Journal of Geographical Information Science
#594
of 823 outputs
Outputs of similar age
#107,414
of 121,012 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 1 outputs
Altmetric has tracked 25,726,194 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 823 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 3rd percentile – i.e., 3% 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 121,012 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% 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