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Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

Overview of attention for article published in Remote Sensing, October 2017
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
48 tweeters
video
1 video uploader

Citations

dimensions_citation
196 Dimensions

Readers on

mendeley
559 Mendeley
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Title
Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
Published in
Remote Sensing, October 2017
DOI 10.3390/rs9101065
Authors

Jun Xiong, Prasad Thenkabail, James Tilton, Murali Gumma, Pardhasaradhi Teluguntla, Adam Oliphant, Russell Congalton, Kamini Yadav, Noel Gorelick

Twitter Demographics

The data shown below were collected from the profiles of 48 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 559 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 559 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 111 20%
Student > Ph. D. Student 96 17%
Researcher 88 16%
Student > Doctoral Student 35 6%
Student > Bachelor 33 6%
Other 93 17%
Unknown 103 18%
Readers by discipline Count As %
Environmental Science 129 23%
Earth and Planetary Sciences 99 18%
Agricultural and Biological Sciences 67 12%
Engineering 57 10%
Computer Science 18 3%
Other 40 7%
Unknown 149 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 March 2021.
All research outputs
#745,128
of 20,747,699 outputs
Outputs from Remote Sensing
#119
of 9,903 outputs
Outputs of similar age
#20,733
of 339,828 outputs
Outputs of similar age from Remote Sensing
#1
of 215 outputs
Altmetric has tracked 20,747,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,903 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 339,828 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 93% of its contemporaries.
We're also able to compare this research output to 215 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 99% of its contemporaries.