↓ Skip to main content

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
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
49 tweeters

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
162 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 49 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 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 162 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Researcher 29 18%
Student > Master 19 12%
Student > Doctoral Student 9 6%
Other 9 6%
Other 22 14%
Unknown 41 25%
Readers by discipline Count As %
Earth and Planetary Sciences 28 17%
Environmental Science 27 17%
Agricultural and Biological Sciences 15 9%
Engineering 8 5%
Social Sciences 5 3%
Other 11 7%
Unknown 68 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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
#983,864
of 21,761,312 outputs
Outputs from Remote Sensing of Environment
#179
of 3,217 outputs
Outputs of similar age
#21,184
of 283,600 outputs
Outputs of similar age from Remote Sensing of Environment
#5
of 65 outputs
Altmetric has tracked 21,761,312 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,217 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one has done particularly well, scoring higher than 94% 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 283,600 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 92% of its contemporaries.
We're also able to compare this research output to 65 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 93% of its contemporaries.