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DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics

Overview of attention for article published in Plant Methods, August 2021
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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 (68th percentile)

Mentioned by

twitter
10 X users

Citations

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7 Dimensions

Readers on

mendeley
34 Mendeley
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Title
DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics
Published in
Plant Methods, August 2021
DOI 10.1186/s13007-021-00787-6
Pubmed ID
Authors

Lydia Kienbaum, Miguel Correa Abondano, Raul Blas, Karl Schmid

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 15%
Student > Master 4 12%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Lecturer 1 3%
Other 4 12%
Unknown 14 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Unspecified 5 15%
Computer Science 3 9%
Biochemistry, Genetics and Molecular Biology 1 3%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 October 2021.
All research outputs
#5,539,992
of 23,310,485 outputs
Outputs from Plant Methods
#303
of 1,104 outputs
Outputs of similar age
#109,627
of 431,902 outputs
Outputs of similar age from Plant Methods
#9
of 29 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 72% 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 431,902 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 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.