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Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding

Overview of attention for article published in Frontiers in Plant Science, April 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
18 X users

Readers on

mendeley
7 Mendeley
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Title
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
Published in
Frontiers in Plant Science, April 2024
DOI 10.3389/fpls.2024.1319938
Pubmed ID
Authors

Ignacio Chang-Brahim, Lukas J. Koppensteiner, Lorenzo Beltrame, Gernot Bodner, Anna Saranti, Jules Salzinger, Phillipp Fanta-Jende, Christoph Sulzbachner, Felix Bruckmüller, Friederike Trognitz, Mina Samad-Zamini, Elisabeth Zechner, Andreas Holzinger, Eva M. Molin

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Unknown 5 71%
Readers by discipline Count As %
Computer Science 1 14%
Unknown 6 86%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 13 June 2024.
All research outputs
#3,435,641
of 26,117,612 outputs
Outputs from Frontiers in Plant Science
#1,642
of 25,003 outputs
Outputs of similar age
#43,941
of 326,598 outputs
Outputs of similar age from Frontiers in Plant Science
#8
of 352 outputs
Altmetric has tracked 26,117,612 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,003 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 93% 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 326,598 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 86% of its contemporaries.
We're also able to compare this research output to 352 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 97% of its contemporaries.