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Leaf disease image retrieval with object detection and deep metric learning

Overview of attention for article published in Frontiers in Plant Science, September 2022
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Mentioned by

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1 X user

Citations

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11 Dimensions

Readers on

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31 Mendeley
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Title
Leaf disease image retrieval with object detection and deep metric learning
Published in
Frontiers in Plant Science, September 2022
DOI 10.3389/fpls.2022.963302
Pubmed ID
Authors

Yingshu Peng, Yi Wang

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 10%
Lecturer > Senior Lecturer 2 6%
Unspecified 2 6%
Student > Master 2 6%
Student > Bachelor 2 6%
Other 3 10%
Unknown 17 55%
Readers by discipline Count As %
Computer Science 8 26%
Unspecified 2 6%
Engineering 2 6%
Social Sciences 1 3%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 17 55%
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 13 September 2022.
All research outputs
#20,723,550
of 23,322,966 outputs
Outputs from Frontiers in Plant Science
#17,040
of 21,161 outputs
Outputs of similar age
#346,276
of 435,492 outputs
Outputs of similar age from Frontiers in Plant Science
#1,149
of 1,430 outputs
Altmetric has tracked 23,322,966 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,161 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 435,492 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,430 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.