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Identification of citrus diseases based on AMSR and MF-RANet

Overview of attention for article published in Plant Methods, September 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Identification of citrus diseases based on AMSR and MF-RANet
Published in
Plant Methods, September 2022
DOI 10.1186/s13007-022-00945-4
Pubmed ID
Authors

Ruoli Yang, Tingjing Liao, Peirui Zhao, Wenhua Zhou, Mingfang He, Liujun Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 7%
Librarian 1 7%
Other 1 7%
Student > Master 1 7%
Unknown 11 73%
Readers by discipline Count As %
Unspecified 1 7%
Computer Science 1 7%
Social Sciences 1 7%
Engineering 1 7%
Unknown 11 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 October 2022.
All research outputs
#8,198,220
of 24,564,172 outputs
Outputs from Plant Methods
#552
of 1,183 outputs
Outputs of similar age
#150,585
of 426,831 outputs
Outputs of similar age from Plant Methods
#12
of 20 outputs
Altmetric has tracked 24,564,172 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,183 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 50% 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 426,831 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 62% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.