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Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

Overview of attention for article published in ISPRS Journal of Photogrammetry & Remote Sensing, April 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#41 of 705)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
7 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
199 Dimensions

Readers on

mendeley
666 Mendeley
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Title
Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
Published in
ISPRS Journal of Photogrammetry & Remote Sensing, April 2017
DOI 10.1016/j.isprsjprs.2017.01.019
Authors

Jun Xiong, Prasad S. Thenkabail, Murali K. Gumma, Pardhasaradhi Teluguntla, Justin Poehnelt, Russell G. Congalton, Kamini Yadav, David Thau

Twitter Demographics

The data shown below were collected from the profiles of 7 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 666 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 <1%
Unknown 665 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 131 20%
Researcher 114 17%
Student > Ph. D. Student 106 16%
Student > Bachelor 44 7%
Student > Doctoral Student 41 6%
Other 101 15%
Unknown 129 19%
Readers by discipline Count As %
Environmental Science 156 23%
Earth and Planetary Sciences 117 18%
Agricultural and Biological Sciences 67 10%
Engineering 60 9%
Computer Science 42 6%
Other 55 8%
Unknown 169 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 September 2020.
All research outputs
#1,385,455
of 18,783,186 outputs
Outputs from ISPRS Journal of Photogrammetry & Remote Sensing
#41
of 705 outputs
Outputs of similar age
#32,704
of 276,433 outputs
Outputs of similar age from ISPRS Journal of Photogrammetry & Remote Sensing
#2
of 11 outputs
Altmetric has tracked 18,783,186 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 705 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 276,433 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 88% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.