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The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region

Overview of attention for article published in Remote Sensing in Earth Systems Sciences, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

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5 X users

Citations

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58 Dimensions

Readers on

mendeley
99 Mendeley
Title
The Performance of Random Forest Classification Based on Phenological Metrics Derived from Sentinel-2 and Landsat 8 to Map Crop Cover in an Irrigated Semi-arid Region
Published in
Remote Sensing in Earth Systems Sciences, October 2019
DOI 10.1007/s41976-019-00023-9
Authors

Abdelaziz Htitiou, Abdelghani Boudhar, Youssef Lebrini, Rachid Hadria, Hayat Lionboui, Loubna Elmansouri, Bernard Tychon, Tarik Benabdelouahab

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 99 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Researcher 15 15%
Student > Master 12 12%
Student > Bachelor 7 7%
Student > Doctoral Student 3 3%
Other 10 10%
Unknown 36 36%
Readers by discipline Count As %
Earth and Planetary Sciences 19 19%
Environmental Science 11 11%
Agricultural and Biological Sciences 9 9%
Computer Science 7 7%
Engineering 4 4%
Other 6 6%
Unknown 43 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 28 November 2019.
All research outputs
#7,255,281
of 23,636,051 outputs
Outputs from Remote Sensing in Earth Systems Sciences
#1
of 1 outputs
Outputs of similar age
#131,845
of 364,451 outputs
Outputs of similar age from Remote Sensing in Earth Systems Sciences
#1
of 1 outputs
Altmetric has tracked 23,636,051 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 364,451 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 63% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them