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Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping

Overview of attention for article published in Frontiers in Earth Science, February 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users
facebook
1 Facebook page

Citations

dimensions_citation
340 Dimensions

Readers on

mendeley
838 Mendeley
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Title
Exploring Google Earth Engine Platform for Big Data Processing: Classification of Multi-Temporal Satellite Imagery for Crop Mapping
Published in
Frontiers in Earth Science, February 2017
DOI 10.3389/feart.2017.00017
Authors

Andrii Shelestov, Mykola Lavreniuk, Nataliia Kussul, Alexei Novikov, Sergii Skakun

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 838 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Unknown 837 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 147 18%
Student > Ph. D. Student 110 13%
Researcher 104 12%
Student > Bachelor 53 6%
Student > Doctoral Student 51 6%
Other 103 12%
Unknown 270 32%
Readers by discipline Count As %
Environmental Science 154 18%
Earth and Planetary Sciences 107 13%
Agricultural and Biological Sciences 93 11%
Engineering 86 10%
Computer Science 32 4%
Other 57 7%
Unknown 309 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 02 July 2019.
All research outputs
#7,213,876
of 25,649,244 outputs
Outputs from Frontiers in Earth Science
#923
of 6,246 outputs
Outputs of similar age
#108,786
of 325,654 outputs
Outputs of similar age from Frontiers in Earth Science
#15
of 30 outputs
Altmetric has tracked 25,649,244 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,246 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 84% 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 325,654 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 66% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.