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The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees

Overview of attention for article published in International Journal of Remote Sensing, July 2010
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policy
1 policy source

Readers on

mendeley
141 Mendeley
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Article details
Title
The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees
Published in
International Journal of Remote Sensing, July 2010
DOI 10.1080/01431160903140803
Authors

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Timeline Attention over time Attention Score history
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 141 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 %
United States 3 2%
Portugal 1 <1%
Egypt 1 <1%
Costa Rica 1 <1%
Unknown 135 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 18%
Student > Master 24 17%
Researcher 22 16%
Other 9 6%
Student > Bachelor 7 5%
Other 22 16%
Unknown 32 23%
Readers by discipline
Readers by discipline Count As %
Environmental Science 44 31%
Agricultural and Biological Sciences 18 13%
Earth and Planetary Sciences 15 11%
Engineering 9 6%
Social Sciences 4 3%
Other 12 9%
Unknown 39 28%
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 20 December 2019.
All research outputs
#8,936,870
of 26,470,638 outputs
Outputs from International Journal of Remote Sensing
#441
of 2,277 outputs
Outputs of similar age
#39,105
of 108,641 outputs
Outputs of similar age from International Journal of Remote Sensing
#9
of 39 outputs
Altmetric has tracked 26,470,638 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 2,277 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 108,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.