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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 Observations & Geoinformation, July 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
108 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 Observations & 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

Twitter Demographics

The data shown below were collected from the profiles of 3 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Unknown 107 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 22%
Researcher 18 17%
Student > Ph. D. Student 14 13%
Student > Bachelor 10 9%
Other 8 7%
Other 15 14%
Unknown 19 18%
Readers by discipline Count As %
Environmental Science 30 28%
Agricultural and Biological Sciences 19 18%
Earth and Planetary Sciences 16 15%
Engineering 9 8%
Computer Science 4 4%
Other 6 6%
Unknown 24 22%

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
#10,118,499
of 18,187,474 outputs
Outputs from International Journal of Applied Earth Observations & Geoinformation
#399
of 1,270 outputs
Outputs of similar age
#126,356
of 275,643 outputs
Outputs of similar age from International Journal of Applied Earth Observations & Geoinformation
#10
of 38 outputs
Altmetric has tracked 18,187,474 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,270 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 68% 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 275,643 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 53% of its contemporaries.
We're also able to compare this research output to 38 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.