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Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data

Overview of attention for article published in International Journal of Digital Earth, January 2017
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Mentioned by

twitter
2 tweeters

Citations

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50 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000–2015) data
Published in
International Journal of Digital Earth, January 2017
DOI 10.1080/17538947.2016.1267269
Authors

Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Murali Krishna Gumma, Russell G. Congalton, Adam Oliphant, Justin Poehnelt, Kamini Yadav, Mahesh Rao, Richard Massey

Twitter Demographics

The data shown below were collected from the profiles of 2 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Ph. D. Student 13 18%
Student > Master 9 13%
Student > Bachelor 4 6%
Student > Postgraduate 3 4%
Other 15 21%
Unknown 13 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 18%
Environmental Science 12 17%
Earth and Planetary Sciences 10 14%
Computer Science 5 7%
Engineering 5 7%
Other 5 7%
Unknown 22 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 November 2017.
All research outputs
#6,945,845
of 12,083,996 outputs
Outputs from International Journal of Digital Earth
#72
of 150 outputs
Outputs of similar age
#154,814
of 325,799 outputs
Outputs of similar age from International Journal of Digital Earth
#2
of 3 outputs
Altmetric has tracked 12,083,996 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 150 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 48th percentile – i.e., 48% 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 325,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.