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Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software

Overview of attention for article published in International Journal of Applied Earth Observation & Geoinformation, July 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
126 Mendeley
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Title
Using multi-date satellite imagery to monitor invasive grass species distribution in post-wildfire landscapes: An iterative, adaptable approach that employs open-source data and software
Published in
International Journal of Applied Earth Observation & Geoinformation, July 2017
DOI 10.1016/j.jag.2017.03.009
Authors

Amanda M. West, Paul H. Evangelista, Catherine S. Jarnevich, Sunil Kumar, Aaron Swallow, Matthew W. Luizza, Stephen M. Chignell

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 125 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 19%
Researcher 22 17%
Student > Ph. D. Student 15 12%
Student > Bachelor 11 9%
Other 8 6%
Other 19 15%
Unknown 27 21%
Readers by discipline Count As %
Environmental Science 31 25%
Agricultural and Biological Sciences 20 16%
Earth and Planetary Sciences 17 13%
Engineering 10 8%
Unspecified 4 3%
Other 12 10%
Unknown 32 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 December 2017.
All research outputs
#14,918,049
of 25,382,440 outputs
Outputs from International Journal of Applied Earth Observation & Geoinformation
#617
of 1,627 outputs
Outputs of similar age
#165,956
of 326,855 outputs
Outputs of similar age from International Journal of Applied Earth Observation & Geoinformation
#12
of 50 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,627 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 61% 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 326,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.