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Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching…

Overview of attention for article published in GIScience & Remote Sensing, July 2022
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Mentioned by

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1 X user

Citations

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23 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Multiple agricultural cropland products of South Asia developed using Landsat-8 30 m and MODIS 250 m data using machine learning on the Google Earth Engine (GEE) cloud and spectral matching techniques (SMTs) in support of food and water security
Published in
GIScience & Remote Sensing, July 2022
DOI 10.1080/15481603.2022.2088651
Authors

Murali Krishna Gumma, Prasad S Thenkabail, Pranay Panjala, Pardhasaradhi Teluguntla, Takashi Yamano, Ismail Mohammed

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 14%
Researcher 8 14%
Unspecified 3 5%
Student > Bachelor 1 2%
Professor 1 2%
Other 5 8%
Unknown 33 56%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 15%
Environmental Science 5 8%
Unspecified 3 5%
Earth and Planetary Sciences 3 5%
Engineering 2 3%
Other 3 5%
Unknown 34 58%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 July 2022.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from GIScience & Remote Sensing
#78
of 137 outputs
Outputs of similar age
#238,513
of 434,068 outputs
Outputs of similar age from GIScience & Remote Sensing
#7
of 8 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 137 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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 434,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.