↓ Skip to main content

The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review

Overview of attention for article published in Applied Sciences, March 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
62 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review
Published in
Applied Sciences, March 2022
DOI 10.3390/app12052570
Authors

Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, Abdul Shukor Juraimi, Nisfariza Mohd Noor, Wan Fazilah Fazlil Ilahi

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

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Student > Master 6 10%
Lecturer 4 6%
Unspecified 3 5%
Researcher 3 5%
Other 5 8%
Unknown 31 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 23%
Engineering 4 6%
Computer Science 4 6%
Unspecified 3 5%
Earth and Planetary Sciences 3 5%
Other 3 5%
Unknown 31 50%
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 2023.
All research outputs
#16,521,422
of 24,380,741 outputs
Outputs from Applied Sciences
#4,264
of 13,446 outputs
Outputs of similar age
#256,997
of 433,337 outputs
Outputs of similar age from Applied Sciences
#298
of 955 outputs
Altmetric has tracked 24,380,741 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,446 research outputs from this source. They receive a mean Attention Score of 2.0. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 433,337 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 955 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.