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A review of potential image fusion methods for remote sensing-based irrigation management: part II

Overview of attention for article published in Irrigation Science, May 2012
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Mentioned by

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1 Facebook page

Citations

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34 Dimensions

Readers on

mendeley
72 Mendeley
Title
A review of potential image fusion methods for remote sensing-based irrigation management: part II
Published in
Irrigation Science, May 2012
DOI 10.1007/s00271-012-0340-6
Authors

Wonsook Ha, Prasanna H. Gowda, Terry A. Howell

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
India 1 1%
Netherlands 1 1%
Thailand 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 32%
Researcher 10 14%
Professor > Associate Professor 6 8%
Other 4 6%
Student > Master 4 6%
Other 10 14%
Unknown 15 21%
Readers by discipline Count As %
Earth and Planetary Sciences 16 22%
Engineering 14 19%
Agricultural and Biological Sciences 10 14%
Environmental Science 6 8%
Computer Science 5 7%
Other 5 7%
Unknown 16 22%
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 14 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Irrigation Science
#158
of 167 outputs
Outputs of similar age
#148,364
of 163,631 outputs
Outputs of similar age from Irrigation Science
#4
of 4 outputs
Altmetric has tracked 22,755,127 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 167 research outputs from this source. They receive a mean Attention Score of 3.6. 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 163,631 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 4 others from the same source and published within six weeks on either side of this one.