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Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning

Overview of attention for article published in Ecological Indicators, January 2018
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  • 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
3 X users

Citations

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76 Dimensions

Readers on

mendeley
151 Mendeley
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Title
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Published in
Ecological Indicators, January 2018
DOI 10.1016/j.ecolind.2017.09.034
Authors

Kyle E. Anderson, Nancy F. Glenn, Lucas P. Spaete, Douglas J. Shinneman, David S. Pilliod, Robert S. Arkle, Susan K. McIlroy, DeWayne R. Derryberry

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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 151 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Researcher 25 17%
Student > Master 22 15%
Student > Doctoral Student 18 12%
Student > Bachelor 9 6%
Other 10 7%
Unknown 42 28%
Readers by discipline Count As %
Environmental Science 31 21%
Agricultural and Biological Sciences 27 18%
Earth and Planetary Sciences 16 11%
Computer Science 8 5%
Engineering 5 3%
Other 15 10%
Unknown 49 32%
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 04 October 2017.
All research outputs
#14,787,133
of 25,382,440 outputs
Outputs from Ecological Indicators
#1,982
of 3,568 outputs
Outputs of similar age
#226,574
of 449,550 outputs
Outputs of similar age from Ecological Indicators
#65
of 116 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,568 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 43rd percentile – i.e., 43% 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 449,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.