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Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative

Overview of attention for article published in Environmental Modelling & Software, October 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Remote sensing as the foundation for high-resolution United States landscape projections – The Land Change Monitoring, assessment, and projection (LCMAP) initiative
Published in
Environmental Modelling & Software, October 2019
DOI 10.1016/j.envsoft.2019.104495
Authors

Terry Sohl, Jordan Dornbierer, Steve Wika, Charles Robison

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 10 17%
Student > Postgraduate 5 8%
Student > Master 5 8%
Student > Doctoral Student 3 5%
Other 8 13%
Unknown 15 25%
Readers by discipline Count As %
Earth and Planetary Sciences 9 15%
Environmental Science 9 15%
Engineering 6 10%
Agricultural and Biological Sciences 3 5%
Computer Science 2 3%
Other 11 18%
Unknown 20 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 28 November 2019.
All research outputs
#4,632,478
of 25,537,395 outputs
Outputs from Environmental Modelling & Software
#258
of 1,548 outputs
Outputs of similar age
#86,062
of 363,341 outputs
Outputs of similar age from Environmental Modelling & Software
#4
of 33 outputs
Altmetric has tracked 25,537,395 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 83% 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 363,341 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 76% of its contemporaries.
We're also able to compare this research output to 33 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 90% of its contemporaries.