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Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data

Overview of attention for article published in International Journal of Remote Sensing, May 2010
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Mentioned by

policy
1 policy source

Readers on

mendeley
110 Mendeley
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Article details
Title
Using artificial neural networks to map the spatial distribution of understorey bamboo from remote sensing data
Published in
International Journal of Remote Sensing, May 2010
DOI 10.1080/01431160310001598971
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 110 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 3%
China 2 2%
Netherlands 1 <1%
India 1 <1%
Spain 1 <1%
Chile 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 99 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 24 22%
Student > Master 16 15%
Other 6 5%
Student > Doctoral Student 5 5%
Other 14 13%
Unknown 20 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 28%
Environmental Science 27 25%
Earth and Planetary Sciences 17 15%
Computer Science 4 4%
Engineering 3 3%
Other 5 5%
Unknown 23 21%
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 01 January 2007.
All research outputs
#8,899,175
of 26,385,541 outputs
Outputs from International Journal of Remote Sensing
#429
of 2,234 outputs
Outputs of similar age
#37,921
of 104,327 outputs
Outputs of similar age from International Journal of Remote Sensing
#9
of 35 outputs
Altmetric has tracked 26,385,541 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,234 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 56% 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 104,327 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 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.