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An online database for plant image analysis software tools

Overview of attention for article published in Plant Methods, January 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 (#22 of 1,026)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

blogs
3 blogs
twitter
37 tweeters
facebook
4 Facebook pages

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
335 Mendeley
citeulike
2 CiteULike
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Title
An online database for plant image analysis software tools
Published in
Plant Methods, January 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.

Twitter Demographics

The data shown below were collected from the profiles of 37 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 335 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%
France 2 <1%
Norway 1 <1%
Australia 1 <1%
Netherlands 1 <1%
Other 7 2%
Unknown 309 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 78 23%
Student > Ph. D. Student 71 21%
Student > Master 49 15%
Professor 20 6%
Student > Bachelor 20 6%
Other 67 20%
Unknown 30 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 190 57%
Engineering 26 8%
Environmental Science 20 6%
Biochemistry, Genetics and Molecular Biology 19 6%
Computer Science 18 5%
Other 25 7%
Unknown 37 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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
#776,229
of 21,454,959 outputs
Outputs from Plant Methods
#22
of 1,026 outputs
Outputs of similar age
#7,266
of 186,469 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 21,454,959 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,026 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. 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 186,469 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 96% 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