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A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing

Overview of attention for article published in Remote Sensing, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
42 Mendeley
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Title
A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing
Published in
Remote Sensing, September 2019
DOI 10.3390/rs11182118
Authors

Samuel Hillman, Luke Wallace, Karin Reinke, Bryan Hally, Simon Jones, Daisy S. Saldias

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 21%
Researcher 8 19%
Student > Master 6 14%
Student > Bachelor 6 14%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 7 17%
Readers by discipline Count As %
Environmental Science 11 26%
Earth and Planetary Sciences 7 17%
Agricultural and Biological Sciences 6 14%
Engineering 3 7%
Arts and Humanities 1 2%
Other 3 7%
Unknown 11 26%
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 12 September 2019.
All research outputs
#12,840,116
of 23,163,378 outputs
Outputs from Remote Sensing
#3,615
of 11,562 outputs
Outputs of similar age
#151,868
of 340,823 outputs
Outputs of similar age from Remote Sensing
#131
of 329 outputs
Altmetric has tracked 23,163,378 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 11,562 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 68% 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 340,823 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 54% of its contemporaries.
We're also able to compare this research output to 329 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.