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Application of Empirical Land-Cover Changes to Construct Climate Change Scenarios in Federally Managed Lands

Overview of attention for article published in Remote Sensing, July 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Readers on

mendeley
10 Mendeley
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Title
Application of Empirical Land-Cover Changes to Construct Climate Change Scenarios in Federally Managed Lands
Published in
Remote Sensing, July 2020
DOI 10.3390/rs12152360
Authors

Christopher E. Soulard, Matthew Rigge

Twitter Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Professor 1 10%
Unspecified 1 10%
Student > Master 1 10%
Researcher 1 10%
Other 1 10%
Unknown 3 30%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 30%
Mathematics 1 10%
Environmental Science 1 10%
Unspecified 1 10%
Social Sciences 1 10%
Other 0 0%
Unknown 3 30%

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 31 July 2020.
All research outputs
#8,633,795
of 16,699,900 outputs
Outputs from Remote Sensing
#2,234
of 7,392 outputs
Outputs of similar age
#125,586
of 299,702 outputs
Outputs of similar age from Remote Sensing
#43
of 73 outputs
Altmetric has tracked 16,699,900 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,392 research outputs from this source. They receive a mean Attention Score of 4.1. 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 299,702 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 57% of its contemporaries.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.