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Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance

Overview of attention for article published in Remote Sensing of Environment, September 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
23 X users

Readers on

mendeley
75 Mendeley
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Title
Detecting subtle change from dense Landsat time series: Case studies of mountain pine beetle and spruce beetle disturbance
Published in
Remote Sensing of Environment, September 2021
DOI 10.1016/j.rse.2021.112560
Authors

Su Ye, John Rogan, Zhe Zhu, Todd J. Hawbaker, Sarah J. Hart, Robert A. Andrus, Arjan J.H. Meddens, Jeffrey A. Hicke, J. Ronald Eastman, Dominik Kulakowski

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Researcher 9 12%
Student > Bachelor 5 7%
Student > Doctoral Student 4 5%
Student > Postgraduate 3 4%
Other 6 8%
Unknown 29 39%
Readers by discipline Count As %
Environmental Science 14 19%
Agricultural and Biological Sciences 12 16%
Earth and Planetary Sciences 6 8%
Nursing and Health Professions 2 3%
Engineering 2 3%
Other 3 4%
Unknown 36 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 60. 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 December 2021.
All research outputs
#714,562
of 25,392,582 outputs
Outputs from Remote Sensing of Environment
#107
of 3,704 outputs
Outputs of similar age
#17,170
of 433,636 outputs
Outputs of similar age from Remote Sensing of Environment
#3
of 82 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one has done particularly well, scoring higher than 97% 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 433,636 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 82 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 96% of its contemporaries.