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L2MXception: an improved Xception network for classification of peach diseases

Overview of attention for article published in Plant Methods, April 2021
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Mentioned by

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1 X user

Citations

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18 Dimensions

Readers on

mendeley
30 Mendeley
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Title
L2MXception: an improved Xception network for classification of peach diseases
Published in
Plant Methods, April 2021
DOI 10.1186/s13007-021-00736-3
Pubmed ID
Authors

Na Yao, Fuchuan Ni, Ziyan Wang, Jun Luo, Wing-Kin Sung, Chaoxi Luo, Guoliang Li

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 10%
Unspecified 3 10%
Student > Ph. D. Student 2 7%
Student > Doctoral Student 2 7%
Student > Bachelor 1 3%
Other 3 10%
Unknown 16 53%
Readers by discipline Count As %
Computer Science 7 23%
Unspecified 3 10%
Engineering 3 10%
Linguistics 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 0 0%
Unknown 15 50%
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 01 April 2021.
All research outputs
#20,701,376
of 23,301,510 outputs
Outputs from Plant Methods
#1,069
of 1,102 outputs
Outputs of similar age
#366,200
of 431,489 outputs
Outputs of similar age from Plant Methods
#26
of 29 outputs
Altmetric has tracked 23,301,510 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 1,102 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 431,489 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 29 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.