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A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net

Overview of attention for article published in Plant Phenomics, April 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

twitter
10 X users

Readers on

mendeley
26 Mendeley
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Article details
Title
A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net
Published in
Plant Phenomics, April 2024
DOI 10.34133/plantphenomics.0168
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 2 8%
Unspecified 1 4%
Professor > Associate Professor 1 4%
Researcher 1 4%
Other 1 4%
Other 0 0%
Unknown 20 77%
Readers by discipline
Readers by discipline Count As %
Computer Science 2 8%
Unspecified 1 4%
Mathematics 1 4%
Agricultural and Biological Sciences 1 4%
Engineering 1 4%
Other 0 0%
Unknown 20 77%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 May 2026.
All research outputs
#10,632,509
of 34,195,206 outputs
Outputs from Plant Phenomics
#307
of 485 outputs
Outputs of similar age
#112,677
of 374,516 outputs
Outputs of similar age from Plant Phenomics
#22
of 26 outputs
Altmetric has tracked 34,195,206 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one is in the 36th percentile – i.e., 36% 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 374,516 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.