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Depth image conversion model based on CycleGAN for growing tomato truss identification

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

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Depth image conversion model based on CycleGAN for growing tomato truss identification
Published in
Plant Methods, June 2022
DOI 10.1186/s13007-022-00911-0
Pubmed ID
Authors

Dae-Hyun Jung, Cheoul Young Kim, Taek Sung Lee, Soo Hyun Park

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 10%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Librarian 1 5%
Student > Doctoral Student 1 5%
Other 3 15%
Unknown 9 45%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 25%
Computer Science 2 10%
Business, Management and Accounting 1 5%
Arts and Humanities 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 9 45%
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 06 July 2022.
All research outputs
#14,145,140
of 25,163,238 outputs
Outputs from Plant Methods
#599
of 1,237 outputs
Outputs of similar age
#169,043
of 435,410 outputs
Outputs of similar age from Plant Methods
#25
of 40 outputs
Altmetric has tracked 25,163,238 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 1,237 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 435,410 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 60% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.