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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
49 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

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 27%
Student > Ph. D. Student 10 20%
Researcher 10 20%
Unspecified 5 10%
Student > Bachelor 4 8%
Other 7 14%
Readers by discipline Count As %
Environmental Science 18 37%
Agricultural and Biological Sciences 12 24%
Earth and Planetary Sciences 7 14%
Unspecified 7 14%
Engineering 3 6%
Other 2 4%

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
#6,315,443
of 12,035,297 outputs
Outputs from Ecological Indicators
#596
of 1,366 outputs
Outputs of similar age
#108,247
of 273,134 outputs
Outputs of similar age from Ecological Indicators
#16
of 48 outputs
Altmetric has tracked 12,035,297 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,366 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 55% 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 273,134 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 59% of its contemporaries.
We're also able to compare this research output to 48 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 66% of its contemporaries.