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A general Landsat model to predict canopy defoliation in broadleaf deciduous forests

Overview of attention for article published in Remote Sensing of Environment, April 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
134 Mendeley
Title
A general Landsat model to predict canopy defoliation in broadleaf deciduous forests
Published in
Remote Sensing of Environment, April 2012
DOI 10.1016/j.rse.2011.12.023
Authors

Philip A. Townsend, Aditya Singh, Jane R. Foster, Nathan J. Rehberg, Clayton C. Kingdon, Keith N. Eshleman, Steven W. Seagle

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Brazil 3 2%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 123 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 25%
Researcher 32 24%
Student > Master 22 16%
Student > Doctoral Student 12 9%
Professor > Associate Professor 9 7%
Other 16 12%
Unknown 10 7%
Readers by discipline Count As %
Environmental Science 53 40%
Agricultural and Biological Sciences 26 19%
Earth and Planetary Sciences 21 16%
Computer Science 3 2%
Engineering 3 2%
Other 6 4%
Unknown 22 16%

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 16 April 2020.
All research outputs
#11,306,155
of 17,457,801 outputs
Outputs from Remote Sensing of Environment
#2,228
of 2,745 outputs
Outputs of similar age
#228,050
of 395,797 outputs
Outputs of similar age from Remote Sensing of Environment
#36
of 56 outputs
Altmetric has tracked 17,457,801 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,745 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one is in the 11th percentile – i.e., 11% 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 395,797 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.