↓ Skip to main content

Automatic segmentation and measurement methods of living stomata of plants based on the CV model

Overview of attention for article published in Plant Methods, July 2019
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
13 X users
facebook
1 Facebook page

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
32 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Automatic segmentation and measurement methods of living stomata of plants based on the CV model
Published in
Plant Methods, July 2019
DOI 10.1186/s13007-019-0453-5
Pubmed ID
Authors

Kexin Li, Jianping Huang, Wenlong Song, Jingtao Wang, Shuai Lv, Xiuwei Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Ph. D. Student 4 13%
Student > Bachelor 3 9%
Student > Postgraduate 2 6%
Student > Master 2 6%
Other 3 9%
Unknown 13 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 34%
Biochemistry, Genetics and Molecular Biology 2 6%
Engineering 2 6%
Business, Management and Accounting 1 3%
Environmental Science 1 3%
Other 2 6%
Unknown 13 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 22 September 2020.
All research outputs
#4,623,149
of 23,577,654 outputs
Outputs from Plant Methods
#262
of 1,120 outputs
Outputs of similar age
#90,213
of 349,688 outputs
Outputs of similar age from Plant Methods
#10
of 44 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,120 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 done well, scoring higher than 76% 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 349,688 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 74% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.