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Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

Overview of attention for article published in Ecological Applications, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
118 Dimensions

Readers on

mendeley
163 Mendeley
Title
Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties
Published in
Ecological Applications, December 2015
DOI 10.1890/14-2098.1
Authors

Aditya Singh, Shawn P. Serbin, Brenden E. McNeil, Clayton C. Kingdon, Philip A. Townsend

Twitter Demographics

The data shown below were collected from the profiles of 3 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Canada 1 <1%
Unknown 158 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 31%
Researcher 23 14%
Student > Master 21 13%
Student > Doctoral Student 11 7%
Student > Bachelor 11 7%
Other 21 13%
Unknown 25 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 28%
Environmental Science 44 27%
Earth and Planetary Sciences 19 12%
Engineering 7 4%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 11 7%
Unknown 32 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 October 2015.
All research outputs
#6,224,620
of 11,314,190 outputs
Outputs from Ecological Applications
#1,373
of 1,968 outputs
Outputs of similar age
#95,109
of 218,586 outputs
Outputs of similar age from Ecological Applications
#26
of 47 outputs
Altmetric has tracked 11,314,190 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 1,968 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 29th percentile – i.e., 29% 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 218,586 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.