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Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce

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

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
6 X users

Citations

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2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Increasing genomic prediction accuracy for unphenotyped full-sib families by modeling additive and dominance effects with large datasets in white spruce
Published in
Frontiers in Plant Science, March 2023
DOI 10.3389/fpls.2023.1137834
Pubmed ID
Authors

Simon Nadeau, Jean Beaulieu, Salvador A. Gezan, Martin Perron, Jean Bousquet, Patrick R. N. Lenz

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 25%
Researcher 2 25%
Other 1 13%
Unknown 3 38%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 75%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 April 2023.
All research outputs
#7,920,200
of 25,564,614 outputs
Outputs from Frontiers in Plant Science
#4,741
of 24,843 outputs
Outputs of similar age
#137,542
of 423,161 outputs
Outputs of similar age from Frontiers in Plant Science
#138
of 1,061 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 24,843 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 80% 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 423,161 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 67% of its contemporaries.
We're also able to compare this research output to 1,061 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.