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Modelling Development of Riparian Ranchlands Using Ecosystem Services at the Aravaipa Watershed, SE Arizona

Overview of attention for article published in Land, April 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Modelling Development of Riparian Ranchlands Using Ecosystem Services at the Aravaipa Watershed, SE Arizona
Published in
Land, April 2019
DOI 10.3390/land8040064
Authors

Laura M. Norman, Miguel L. Villarreal, Rewati Niraula, Mark Haberstich, Natalie R. Wilson

Twitter Demographics

The data shown below were collected from the profiles of 7 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 4 24%
Student > Doctoral Student 2 12%
Student > Postgraduate 2 12%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 2 12%
Readers by discipline Count As %
Environmental Science 9 53%
Agricultural and Biological Sciences 4 24%
Social Sciences 1 6%
Engineering 1 6%
Unknown 2 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 March 2021.
All research outputs
#4,652,169
of 17,585,248 outputs
Outputs from Land
#265
of 1,507 outputs
Outputs of similar age
#90,560
of 277,597 outputs
Outputs of similar age from Land
#5
of 7 outputs
Altmetric has tracked 17,585,248 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,507 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 81% 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 277,597 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 67% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.