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Training Data Selection for Annual Land Cover Classification for the Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Training Data Selection for Annual Land Cover Classification for the Land Change Monitoring, Assessment, and Projection (LCMAP) Initiative
Published in
Remote Sensing, February 2020
DOI 10.3390/rs12040699
Authors

Qiang Zhou, Heather Tollerud, Christopher Barber, Kelcy Smith, Daniel Zelenak

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 20%
Student > Master 6 15%
Researcher 5 12%
Other 3 7%
Student > Doctoral Student 3 7%
Other 4 10%
Unknown 12 29%
Readers by discipline Count As %
Environmental Science 10 24%
Earth and Planetary Sciences 10 24%
Engineering 3 7%
Agricultural and Biological Sciences 2 5%
Computer Science 1 2%
Other 3 7%
Unknown 12 29%
Attention Score in Context

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 17 April 2020.
All research outputs
#12,959,420
of 23,202,641 outputs
Outputs from Remote Sensing
#3,710
of 11,591 outputs
Outputs of similar age
#161,626
of 360,997 outputs
Outputs of similar age from Remote Sensing
#169
of 620 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,591 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 67% 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 360,997 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 54% of its contemporaries.
We're also able to compare this research output to 620 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.