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Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data

Overview of attention for article published in Remote Sensing, June 2016
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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)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
74 Mendeley
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Title
Mapping Presence and Predicting Phenological Status of Invasive Buffelgrass in Southern Arizona Using MODIS, Climate and Citizen Science Observation Data
Published in
Remote Sensing, June 2016
DOI 10.3390/rs8070524
Authors

Cynthia S. A. Wallace, Jessica J. Walker, Susan M. Skirvin, Caroline Patrick-Birdwell, Jake F. Weltzin, Helen Raichle

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Researcher 11 15%
Student > Ph. D. Student 8 11%
Student > Bachelor 7 9%
Other 5 7%
Other 12 16%
Unknown 16 22%
Readers by discipline Count As %
Environmental Science 21 28%
Agricultural and Biological Sciences 21 28%
Earth and Planetary Sciences 5 7%
Computer Science 2 3%
Physics and Astronomy 1 1%
Other 3 4%
Unknown 21 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 November 2021.
All research outputs
#3,567,671
of 22,879,161 outputs
Outputs from Remote Sensing
#1,149
of 11,349 outputs
Outputs of similar age
#63,917
of 352,727 outputs
Outputs of similar age from Remote Sensing
#11
of 164 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,349 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 89% 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 352,727 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 164 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.