↓ Skip to main content

Mapping forest functional type in a forest-shrubland ecotone using SPOT imagery and predictive habitat distribution modelling

Overview of attention for article published in Remote Sensing Letters, August 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mapping forest functional type in a forest-shrubland ecotone using SPOT imagery and predictive habitat distribution modelling
Published in
Remote Sensing Letters, August 2015
DOI 10.1080/2150704x.2015.1072289
Authors

Timothy J. Assal, Patrick J. Anderson, Jason Sibold

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 5 16%
Student > Master 5 16%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 5 16%
Unknown 5 16%
Readers by discipline Count As %
Environmental Science 13 42%
Agricultural and Biological Sciences 5 16%
Engineering 2 6%
Unspecified 1 3%
Earth and Planetary Sciences 1 3%
Other 3 10%
Unknown 6 19%
Attention Score in Context

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 26 August 2015.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Remote Sensing Letters
#113
of 131 outputs
Outputs of similar age
#193,295
of 267,216 outputs
Outputs of similar age from Remote Sensing Letters
#3
of 5 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 131 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 6th percentile – i.e., 6% 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 267,216 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.