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Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities

Overview of attention for article published in Remote Sensing of Environment, November 2019
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
44 X users

Citations

dimensions_citation
204 Dimensions

Readers on

mendeley
327 Mendeley
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Title
Remote sensing of dryland ecosystem structure and function: Progress, challenges, and opportunities
Published in
Remote Sensing of Environment, November 2019
DOI 10.1016/j.rse.2019.111401
Authors

William K. Smith, Matthew P. Dannenberg, Dong Yan, Stefanie Herrmann, Mallory L. Barnes, Greg A. Barron-Gafford, Joel A. Biederman, Scott Ferrenberg, Andrew M. Fox, Amy Hudson, John F. Knowles, Natasha MacBean, David J.P. Moore, Pamela L. Nagler, Sasha C. Reed, William A. Rutherford, Russell L. Scott, Xian Wang, Julia Yang

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 327 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 327 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 20%
Researcher 46 14%
Student > Master 43 13%
Student > Doctoral Student 16 5%
Other 13 4%
Other 37 11%
Unknown 108 33%
Readers by discipline Count As %
Environmental Science 62 19%
Agricultural and Biological Sciences 47 14%
Earth and Planetary Sciences 43 13%
Engineering 20 6%
Economics, Econometrics and Finance 4 1%
Other 19 6%
Unknown 132 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 07 June 2022.
All research outputs
#1,538,392
of 25,387,668 outputs
Outputs from Remote Sensing of Environment
#311
of 3,694 outputs
Outputs of similar age
#33,622
of 378,069 outputs
Outputs of similar age from Remote Sensing of Environment
#15
of 101 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,694 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 91% 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 378,069 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.