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Exploiting hyperspectral and multispectral images in the detection of tree species: A review

Overview of attention for article published in Frontiers in Remote Sensing, March 2023
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1 X user

Citations

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5 Dimensions

Readers on

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29 Mendeley
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Title
Exploiting hyperspectral and multispectral images in the detection of tree species: A review
Published in
Frontiers in Remote Sensing, March 2023
DOI 10.3389/frsen.2023.1136289
Authors

Sude Gul Yel, Esra Tunc Gormus

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Student > Bachelor 4 14%
Researcher 3 10%
Unspecified 3 10%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 9 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 21%
Unspecified 5 17%
Engineering 2 7%
Computer Science 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 2 7%
Unknown 11 38%
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 27 March 2023.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Frontiers in Remote Sensing
#1
of 1 outputs
Outputs of similar age
#320,453
of 426,925 outputs
Outputs of similar age from Frontiers in Remote Sensing
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. 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 426,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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