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Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach

Overview of attention for article published in Remote Sensing of Environment, March 2020
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
46 X users

Citations

dimensions_citation
142 Dimensions

Readers on

mendeley
207 Mendeley
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Title
Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
Published in
Remote Sensing of Environment, March 2020
DOI 10.1016/j.rse.2019.111356
Authors

Jesslyn F. Brown, Heather J. Tollerud, Christopher P. Barber, Qiang Zhou, John L. Dwyer, James E. Vogelmann, Thomas R. Loveland, Curtis E. Woodcock, Stephen V. Stehman, Zhe Zhu, Bruce W. Pengra, Kelcy Smith, Josephine A. Horton, George Xian, Roger F. Auch, Terry L. Sohl, Kristi L. Sayler, Alisa L. Gallant, Daniel Zelenak, Ryan R. Reker, Jennifer Rover

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 20%
Researcher 39 19%
Student > Master 23 11%
Student > Doctoral Student 9 4%
Other 9 4%
Other 23 11%
Unknown 62 30%
Readers by discipline Count As %
Environmental Science 37 18%
Earth and Planetary Sciences 34 16%
Agricultural and Biological Sciences 17 8%
Engineering 11 5%
Computer Science 4 2%
Other 14 7%
Unknown 90 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 18 December 2020.
All research outputs
#1,341,118
of 25,528,120 outputs
Outputs from Remote Sensing of Environment
#254
of 3,749 outputs
Outputs of similar age
#32,621
of 384,097 outputs
Outputs of similar age from Remote Sensing of Environment
#13
of 92 outputs
Altmetric has tracked 25,528,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,749 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 93% 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 384,097 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 91% of its contemporaries.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.