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A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

Overview of attention for article published in ISPRS Journal of Photogrammetry & Remote Sensing, October 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source

Citations

dimensions_citation
346 Dimensions

Readers on

mendeley
643 Mendeley
citeulike
3 CiteULike
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Title
A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
Published in
ISPRS Journal of Photogrammetry & Remote Sensing, October 2018
DOI 10.1016/j.isprsjprs.2018.07.017
Authors

P. Teluguntla, P. Thenkabail, Adam Oliphant, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav, Alfredo Huete

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 643 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 643 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 88 14%
Student > Ph. D. Student 87 14%
Student > Master 87 14%
Student > Bachelor 39 6%
Student > Doctoral Student 35 5%
Other 81 13%
Unknown 226 35%
Readers by discipline Count As %
Environmental Science 99 15%
Earth and Planetary Sciences 85 13%
Engineering 56 9%
Computer Science 54 8%
Agricultural and Biological Sciences 51 8%
Other 53 8%
Unknown 245 38%
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 01 March 2021.
All research outputs
#8,882,501
of 25,837,817 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#499
of 1,085 outputs
Outputs of similar age
#145,521
of 357,573 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#14
of 32 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,085 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 357,573 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 51% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.