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A method for small-sized wheat seedlings detection: from annotation mode to model construction

Overview of attention for article published in Plant Methods, January 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
1 Mendeley
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Title
A method for small-sized wheat seedlings detection: from annotation mode to model construction
Published in
Plant Methods, January 2024
DOI 10.1186/s13007-024-01147-w
Pubmed ID
Authors

Suwan Wang, Jianqing Zhao, Yucheng Cai, Yan Li, Xuerui Qi, Xiaolei Qiu, Xia Yao, Yongchao Tian, Yan Zhu, Weixing Cao, Xiaohu Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%
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 14 March 2024.
All research outputs
#14,759,365
of 25,355,907 outputs
Outputs from Plant Methods
#662
of 1,254 outputs
Outputs of similar age
#72,045
of 199,074 outputs
Outputs of similar age from Plant Methods
#10
of 27 outputs
Altmetric has tracked 25,355,907 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,254 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 47th percentile – i.e., 47% 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 199,074 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 64% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.