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Automatic cost-effective method for land cover classification (ALCC)

Overview of attention for article published in Computers, Environment & Urban Systems, July 2019
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Mentioned by

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2 X users

Citations

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45 Dimensions

Readers on

mendeley
102 Mendeley
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Title
Automatic cost-effective method for land cover classification (ALCC)
Published in
Computers, Environment & Urban Systems, July 2019
DOI 10.1016/j.compenvurbsys.2019.03.001
Authors

Mateo Gašparović, Mladen Zrinjski, Marina Gudelj

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 16%
Student > Master 15 15%
Researcher 13 13%
Student > Postgraduate 8 8%
Student > Doctoral Student 7 7%
Other 14 14%
Unknown 29 28%
Readers by discipline Count As %
Environmental Science 20 20%
Earth and Planetary Sciences 15 15%
Computer Science 9 9%
Engineering 9 9%
Agricultural and Biological Sciences 4 4%
Other 11 11%
Unknown 34 33%
Attention Score in Context

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 04 September 2019.
All research outputs
#16,240,032
of 25,658,541 outputs
Outputs from Computers, Environment & Urban Systems
#460
of 626 outputs
Outputs of similar age
#208,166
of 364,694 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#4
of 4 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 626 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 23rd percentile – i.e., 23% 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 364,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.