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Leaf segmentation in plant phenotyping: a collation study

Overview of attention for article published in Machine Vision & Applications, December 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 239)
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters
patent
2 patents

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
140 Mendeley
citeulike
1 CiteULike
Title
Leaf segmentation in plant phenotyping: a collation study
Published in
Machine Vision & Applications, December 2015
DOI 10.1007/s00138-015-0737-3
Authors

Hanno Scharr, Massimo Minervini, Andrew P. French, Christian Klukas, David M. Kramer, Xiaoming Liu, Imanol Luengo, Jean-Michel Pape, Gerrit Polder, Danijela Vukadinovic, Xi Yin, Sotirios A. Tsaftaris

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Brazil 1 <1%
Canada 1 <1%
Unknown 137 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 24%
Student > Master 33 24%
Researcher 17 12%
Unspecified 13 9%
Student > Doctoral Student 12 9%
Other 32 23%
Readers by discipline Count As %
Computer Science 48 34%
Agricultural and Biological Sciences 31 22%
Engineering 30 21%
Unspecified 22 16%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 5 4%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 07 February 2018.
All research outputs
#911,188
of 12,470,921 outputs
Outputs from Machine Vision & Applications
#2
of 239 outputs
Outputs of similar age
#28,648
of 271,704 outputs
Outputs of similar age from Machine Vision & Applications
#1
of 1 outputs
Altmetric has tracked 12,470,921 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 99% 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 271,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them