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Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach

Overview of attention for article published in Frontiers in Plant Science, August 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
5 X users

Citations

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1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach
Published in
Frontiers in Plant Science, August 2023
DOI 10.3389/fpls.2023.1153040
Pubmed ID
Authors

Freddy Mora-Poblete, Carlos Maldonado, Luma Henrique, Renan Uhdre, Carlos Alberto Scapim, Claudete Aparecida Mangolim

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Researcher 2 20%
Student > Ph. D. Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Unknown 6 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 October 2023.
All research outputs
#8,840,727
of 26,124,608 outputs
Outputs from Frontiers in Plant Science
#5,821
of 25,008 outputs
Outputs of similar age
#131,663
of 365,841 outputs
Outputs of similar age from Frontiers in Plant Science
#101
of 912 outputs
Altmetric has tracked 26,124,608 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,008 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 75% 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 365,841 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 61% of its contemporaries.
We're also able to compare this research output to 912 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.