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.
X Demographics
Mendeley readers
Attention Score in Context
| 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 |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 70% |
| France | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
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 | 22 | 15% |
| Student > Master | 17 | 11% |
| Researcher | 13 | 9% |
| Student > Bachelor | 8 | 5% |
| Lecturer | 6 | 4% |
| Other | 13 | 9% |
| Unknown | 72 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 13% |
| Environmental Science | 15 | 10% |
| Engineering | 12 | 8% |
| Earth and Planetary Sciences | 12 | 8% |
| Computer Science | 8 | 5% |
| Other | 7 | 5% |
| Unknown | 77 | 51% |
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 19 October 2023.
All research outputs
#2,637,218
of 26,017,215 outputs
Outputs from Remote Sensing of Environment
#658
of 4,359 outputs
Outputs of similar age
#73,324
of 537,197 outputs
Outputs of similar age from Remote Sensing of Environment
#23
of 75 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,359 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 80% 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 537,197 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 86% of its contemporaries.
We're also able to compare this research output to 75 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 69% of its contemporaries.