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MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision

Overview of attention for article published in Plant Methods, March 2022
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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 (#11 of 1,260)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
5 news outlets
twitter
60 X users
wikipedia
1 Wikipedia page
reddit
1 Redditor
video
1 YouTube creator

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
46 Mendeley
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Title
MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision
Published in
Plant Methods, March 2022
DOI 10.1186/s13007-022-00864-4
Pubmed ID
Authors

Vinicius Lube, Mehmet Alican Noyan, Alexander Przybysz, Khaled Salama, Ikram Blilou

X Demographics

X Demographics

The data shown below were collected from the profiles of 60 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 6 13%
Other 3 7%
Student > Doctoral Student 3 7%
Student > Master 1 2%
Other 4 9%
Unknown 22 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 26%
Computer Science 8 17%
Unspecified 1 2%
Nursing and Health Professions 1 2%
Environmental Science 1 2%
Other 2 4%
Unknown 21 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 23 February 2024.
All research outputs
#585,050
of 25,378,284 outputs
Outputs from Plant Methods
#11
of 1,260 outputs
Outputs of similar age
#15,192
of 436,656 outputs
Outputs of similar age from Plant Methods
#1
of 45 outputs
Altmetric has tracked 25,378,284 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,260 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 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 436,656 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 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.