↓ Skip to main content

Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity

Overview of attention for article published in Remote Sensing, March 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
119 Dimensions

Readers on

mendeley
194 Mendeley
Title
Associations of Leaf Spectra with Genetic and Phylogenetic Variation in Oaks: Prospects for Remote Detection of Biodiversity
Published in
Remote Sensing, March 2016
DOI 10.3390/rs8030221
Authors

Jeannine Cavender-Bares, Jose Eduardo Meireles, John J. Couture, Matthew Kaproth, Clayton C. Kingdon, Aditya Singh, Shawn P. Serbin, Alyson Center, Esau Zuniga, George Pilz, Philip A. Townsend

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Malaysia 1 <1%
Unknown 189 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 24%
Researcher 27 14%
Student > Master 24 12%
Student > Doctoral Student 14 7%
Student > Bachelor 14 7%
Other 43 22%
Unknown 26 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 68 35%
Environmental Science 49 25%
Earth and Planetary Sciences 13 7%
Biochemistry, Genetics and Molecular Biology 7 4%
Engineering 6 3%
Other 13 7%
Unknown 38 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 August 2016.
All research outputs
#6,111,177
of 25,099,766 outputs
Outputs from Remote Sensing
#2,124
of 13,038 outputs
Outputs of similar age
#79,086
of 306,271 outputs
Outputs of similar age from Remote Sensing
#23
of 178 outputs
Altmetric has tracked 25,099,766 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,038 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 83% 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 306,271 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 74% of its contemporaries.
We're also able to compare this research output to 178 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.