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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 (94th 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
49 tweeters
video
1 video uploader

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
454 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 49 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 454 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 454 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 93 20%
Student > Ph. D. Student 84 19%
Researcher 75 17%
Student > Doctoral Student 33 7%
Student > Bachelor 24 5%
Other 75 17%
Unknown 70 15%
Readers by discipline Count As %
Environmental Science 112 25%
Earth and Planetary Sciences 85 19%
Agricultural and Biological Sciences 54 12%
Engineering 49 11%
Computer Science 13 3%
Other 29 6%
Unknown 112 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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
#602,977
of 17,464,602 outputs
Outputs from Remote Sensing
#91
of 7,962 outputs
Outputs of similar age
#19,546
of 329,415 outputs
Outputs of similar age from Remote Sensing
#1
of 213 outputs
Altmetric has tracked 17,464,602 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 7,962 research outputs from this source. They receive a mean Attention Score of 4.1. 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 329,415 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 94% of its contemporaries.
We're also able to compare this research output to 213 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.