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Estimating fractional vegetation cover and aboveground biomass for land degradation assessment in eastern Mongolia steppe: combining ground vegetation data and remote sensing

Overview of attention for article published in International Journal of Remote Sensing, January 2023
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Estimating fractional vegetation cover and aboveground biomass for land degradation assessment in eastern Mongolia steppe: combining ground vegetation data and remote sensing
Published in
International Journal of Remote Sensing, January 2023
DOI 10.1080/01431161.2023.2165421
Authors

Batnyambuu Dashpurev, Munkhtsetseg Dorj, Thanh Noi Phan, Jörg Bendix, Lukas W. Lehnert

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Researcher 3 19%
Student > Master 1 6%
Student > Doctoral Student 1 6%
Unknown 8 50%
Readers by discipline Count As %
Environmental Science 5 31%
Agricultural and Biological Sciences 1 6%
Earth and Planetary Sciences 1 6%
Social Sciences 1 6%
Engineering 1 6%
Other 0 0%
Unknown 7 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 March 2023.
All research outputs
#3,560,017
of 25,554,853 outputs
Outputs from International Journal of Remote Sensing
#104
of 2,185 outputs
Outputs of similar age
#71,673
of 474,403 outputs
Outputs of similar age from International Journal of Remote Sensing
#4
of 75 outputs
Altmetric has tracked 25,554,853 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,185 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 95% 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 474,403 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 84% 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 done particularly well, scoring higher than 96% of its contemporaries.