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Remote sensing analysis of riparian vegetation response to desert marsh restoration in the Mexican Highlands

Overview of attention for article published in Ecological Engineering, September 2014
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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 (81st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
125 Mendeley
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Title
Remote sensing analysis of riparian vegetation response to desert marsh restoration in the Mexican Highlands
Published in
Ecological Engineering, September 2014
DOI 10.1016/j.ecoleng.2014.05.012
Authors

Laura Norman, Miguel Villarreal, H. Ronald Pulliam, Robert Minckley, Leila Gass, Cindy Tolle, Michelle Coe

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Unknown 123 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Master 19 15%
Researcher 18 14%
Student > Bachelor 9 7%
Professor 7 6%
Other 19 15%
Unknown 29 23%
Readers by discipline Count As %
Environmental Science 40 32%
Agricultural and Biological Sciences 25 20%
Earth and Planetary Sciences 12 10%
Engineering 10 8%
Social Sciences 3 2%
Other 5 4%
Unknown 30 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2022.
All research outputs
#4,823,998
of 25,373,627 outputs
Outputs from Ecological Engineering
#217
of 1,570 outputs
Outputs of similar age
#46,277
of 248,666 outputs
Outputs of similar age from Ecological Engineering
#7
of 24 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,570 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 248,666 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 81% of its contemporaries.
We're also able to compare this research output to 24 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 70% of its contemporaries.