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PMVT: a lightweight vision transformer for plant disease identification on mobile devices

Overview of attention for article published in Frontiers in Plant Science, September 2023
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Mentioned by

twitter
1 X user

Readers on

mendeley
19 Mendeley
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Title
PMVT: a lightweight vision transformer for plant disease identification on mobile devices
Published in
Frontiers in Plant Science, September 2023
DOI 10.3389/fpls.2023.1256773
Pubmed ID
Authors

Guoqiang Li, Yuchao Wang, Qing Zhao, Peiyan Yuan, Baofang Chang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 21%
Student > Ph. D. Student 1 5%
Researcher 1 5%
Student > Master 1 5%
Unknown 12 63%
Readers by discipline Count As %
Unspecified 4 21%
Computer Science 2 11%
Unknown 13 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 26 September 2023.
All research outputs
#21,961,808
of 24,503,201 outputs
Outputs from Frontiers in Plant Science
#18,621
of 23,200 outputs
Outputs of similar age
#125,803
of 155,597 outputs
Outputs of similar age from Frontiers in Plant Science
#261
of 464 outputs
Altmetric has tracked 24,503,201 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 23,200 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 155,597 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 464 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.