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130 Mendeley
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Article details
Title
Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest
Published in
GIScience & Remote Sensing, August 2013
DOI 10.1080/15481603.2013.819161
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 <1%
Madagascar 1 <1%
Germany 1 <1%
Brazil 1 <1%
Unknown 126 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 20%
Student > Master 21 16%
Researcher 13 10%
Student > Doctoral Student 8 6%
Student > Bachelor 8 6%
Other 19 15%
Unknown 35 27%
Readers by discipline
Readers by discipline Count As %
Environmental Science 26 20%
Earth and Planetary Sciences 16 12%
Agricultural and Biological Sciences 14 11%
Computer Science 12 9%
Engineering 12 9%
Other 9 7%
Unknown 41 32%
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 11 September 2013.
All research outputs
#17,673,163
of 22,721,584 outputs
Outputs from GIScience & Remote Sensing
#108
of 137 outputs
Outputs of similar age
#142,701
of 199,337 outputs
Outputs of similar age from GIScience & Remote Sensing
#2
of 2 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 137 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% 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 199,337 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.