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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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Mentioned by

twitter
1 tweeter

Citations

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19 Dimensions

Readers on

mendeley
99 Mendeley
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

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Canada 2 2%
Australia 2 2%
Luxembourg 1 1%
South Africa 1 1%
Switzerland 1 1%
Netherlands 1 1%
Czechia 1 1%
Germany 1 1%
Other 0 0%
Unknown 86 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 28%
Student > Ph. D. Student 24 24%
Student > Master 13 13%
Professor > Associate Professor 8 8%
Unspecified 6 6%
Other 20 20%
Readers by discipline Count As %
Environmental Science 37 37%
Agricultural and Biological Sciences 21 21%
Earth and Planetary Sciences 20 20%
Unspecified 8 8%
Social Sciences 3 3%
Other 10 10%

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
#10,240,405
of 12,826,501 outputs
Outputs from International Journal of Geographical Information Science
#344
of 413 outputs
Outputs of similar age
#184,806
of 266,273 outputs
Outputs of similar age from International Journal of Geographical Information Science
#15
of 18 outputs
Altmetric has tracked 12,826,501 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 413 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 7th percentile – i.e., 7% 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 266,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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.