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Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data

Overview of attention for article published in Applied Sciences, December 2021
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Mentioned by

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2 X users

Citations

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8 Dimensions

Readers on

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37 Mendeley
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Title
Identification of a Suitable Machine Learning Model for Detection of Asymptomatic Ganoderma boninense Infection in Oil Palm Seedlings Using Hyperspectral Data
Published in
Applied Sciences, December 2021
DOI 10.3390/app112411798
Authors

Aiman Nabilah Noor Azmi, Siti Khairunniza-Bejo, Mahirah Jahari, Farrah Melissa Muharram, Ian Yule

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 8%
Researcher 3 8%
Student > Bachelor 2 5%
Lecturer > Senior Lecturer 1 3%
Other 1 3%
Other 2 5%
Unknown 25 68%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 16%
Unspecified 3 8%
Computer Science 1 3%
Physics and Astronomy 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 25 68%
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 31 January 2022.
All research outputs
#18,589,103
of 23,025,074 outputs
Outputs from Applied Sciences
#5,871
of 9,570 outputs
Outputs of similar age
#359,931
of 502,698 outputs
Outputs of similar age from Applied Sciences
#385
of 599 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,570 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 22nd percentile – i.e., 22% 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 502,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 599 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.