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Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert…

Overview of attention for article published in Remote Sensing of Environment, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
10 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Quantifying plant-soil-nutrient dynamics in rangelands: Fusion of UAV hyperspectral-LiDAR, UAV multispectral-photogrammetry, and ground-based LiDAR-digital photography in a shrub-encroached desert grassland
Published in
Remote Sensing of Environment, February 2021
DOI 10.1016/j.rse.2020.112223
Authors

Joel B. Sankey, Temuulen T. Sankey, Junran Li, Sujith Ravi, Guan Wang, Joshua Caster, Alan Kasprak

Twitter Demographics

The data shown below were collected from the profiles of 10 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Researcher 10 12%
Student > Master 10 12%
Unspecified 5 6%
Student > Bachelor 4 5%
Other 7 8%
Unknown 32 37%
Readers by discipline Count As %
Environmental Science 11 13%
Agricultural and Biological Sciences 11 13%
Earth and Planetary Sciences 8 9%
Engineering 7 8%
Computer Science 6 7%
Other 7 8%
Unknown 36 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 13 April 2021.
All research outputs
#1,971,731
of 20,785,366 outputs
Outputs from Remote Sensing of Environment
#487
of 3,140 outputs
Outputs of similar age
#68,950
of 487,929 outputs
Outputs of similar age from Remote Sensing of Environment
#16
of 67 outputs
Altmetric has tracked 20,785,366 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,140 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 84% 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 487,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.