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An online database for plant image analysis software tools

Overview of attention for article published in Plant Methods, October 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#32 of 1,280)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
3 blogs
twitter
30 X users
facebook
4 Facebook pages

Citations

dimensions_citation
193 Dimensions

Readers on

mendeley
354 Mendeley
citeulike
2 CiteULike
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Title
An online database for plant image analysis software tools
Published in
Plant Methods, October 2013
DOI 10.1186/1746-4811-9-38
Pubmed ID
Authors

Guillaume Lobet, Xavier Draye, Claire Périlleux

Abstract

Recent years have seen an increase in methods for plant phenotyping using image analyses. These methods require new software solutions for data extraction and treatment. These solutions are instrumental in supporting various research pipelines, ranging from the localisation of cellular compounds to the quantification of tree canopies. However, due to the variety of existing tools and the lack of central repository, it is challenging for researchers to identify the software that is best suited for their research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
Belgium 3 <1%
United States 3 <1%
Argentina 3 <1%
Spain 2 <1%
Norway 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Turkey 1 <1%
Other 7 2%
Unknown 329 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 82 23%
Student > Ph. D. Student 75 21%
Student > Master 50 14%
Professor 20 6%
Student > Bachelor 19 5%
Other 67 19%
Unknown 41 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 194 55%
Engineering 26 7%
Computer Science 20 6%
Environmental Science 20 6%
Biochemistry, Genetics and Molecular Biology 19 5%
Other 27 8%
Unknown 48 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 31 May 2022.
All research outputs
#1,088,927
of 25,576,275 outputs
Outputs from Plant Methods
#32
of 1,280 outputs
Outputs of similar age
#9,680
of 223,264 outputs
Outputs of similar age from Plant Methods
#2
of 11 outputs
Altmetric has tracked 25,576,275 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 97% 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 223,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.