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An automated method for stem diameter measurement based on laser module and deep learning

Overview of attention for article published in Plant Methods, July 2023
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1 X user

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12 Mendeley
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Title
An automated method for stem diameter measurement based on laser module and deep learning
Published in
Plant Methods, July 2023
DOI 10.1186/s13007-023-01045-7
Pubmed ID
Authors

Sheng Wang, Rao Li, Huan Li, Xiaowen Ma, Qiang Ji, Fu Xu, Hongping Fu

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 8%
Researcher 1 8%
Student > Postgraduate 1 8%
Unknown 9 75%
Readers by discipline Count As %
Unspecified 1 8%
Environmental Science 1 8%
Unknown 10 83%
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 06 July 2023.
All research outputs
#19,528,590
of 24,022,746 outputs
Outputs from Plant Methods
#1,007
of 1,147 outputs
Outputs of similar age
#126,256
of 175,456 outputs
Outputs of similar age from Plant Methods
#9
of 17 outputs
Altmetric has tracked 24,022,746 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,147 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 2nd percentile – i.e., 2% 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 175,456 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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.