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Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud

Overview of attention for article published in International Journal of Applied Earth Observations & Geoinformation, September 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 (79th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
221 Mendeley
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Title
Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
Published in
International Journal of Applied Earth Observations & Geoinformation, September 2019
DOI 10.1016/j.jag.2018.11.014
Authors

Adam J. Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav

Twitter Demographics

The data shown below were collected from the profiles of 16 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 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 221 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 17%
Student > Master 37 17%
Student > Ph. D. Student 27 12%
Student > Bachelor 13 6%
Student > Doctoral Student 10 5%
Other 26 12%
Unknown 70 32%
Readers by discipline Count As %
Environmental Science 35 16%
Earth and Planetary Sciences 28 13%
Engineering 25 11%
Agricultural and Biological Sciences 19 9%
Computer Science 14 6%
Other 22 10%
Unknown 78 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 June 2019.
All research outputs
#2,593,310
of 19,048,038 outputs
Outputs from International Journal of Applied Earth Observations & Geoinformation
#90
of 1,311 outputs
Outputs of similar age
#56,489
of 279,833 outputs
Outputs of similar age from International Journal of Applied Earth Observations & Geoinformation
#10
of 26 outputs
Altmetric has tracked 19,048,038 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,311 research outputs from this source. They receive a mean Attention Score of 3.6. 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 279,833 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 79% of its contemporaries.
We're also able to compare this research output to 26 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 65% of its contemporaries.