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Object-Based Classification of Forest Disturbance Types in the Conterminous United States

Overview of attention for article published in Remote Sensing, February 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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11 X users

Readers on

mendeley
114 Mendeley
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Article details
Title
Object-Based Classification of Forest Disturbance Types in the Conterminous United States
Published in
Remote Sensing, February 2019
DOI 10.3390/rs11050477
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 25 22%
Researcher 19 17%
Student > Master 16 14%
Student > Doctoral Student 9 8%
Student > Bachelor 5 4%
Other 7 6%
Unknown 33 29%
Readers by discipline
Readers by discipline Count As %
Environmental Science 24 21%
Agricultural and Biological Sciences 21 18%
Earth and Planetary Sciences 11 10%
Social Sciences 5 4%
Computer Science 4 4%
Other 10 9%
Unknown 39 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 July 2020.
All research outputs
#8,770,472
of 32,776,908 outputs
Outputs from Remote Sensing
#2,955
of 16,796 outputs
Outputs of similar age
#121,914
of 383,410 outputs
Outputs of similar age from Remote Sensing
#113
of 470 outputs
Altmetric has tracked 32,776,908 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 16,796 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 82% 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 383,410 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 67% of its contemporaries.
We're also able to compare this research output to 470 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.