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Pedigree-based QTL analysis of flower size traits in two multi-parental diploid rose populations

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

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

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1 Mendeley
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Title
Pedigree-based QTL analysis of flower size traits in two multi-parental diploid rose populations
Published in
Frontiers in Plant Science, August 2023
DOI 10.3389/fpls.2023.1226713
Pubmed ID
Authors

Zena Rawandoozi, Ellen L. Young, Shuyin Liang, Xuan Wu, Qiuyi Fu, Tessa Hochhaus, Muqing Yan, Maad Y. Rawandoozi, Patricia E. Klein, David H. Byrne, Oscar Riera-Lizarazu

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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%
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 21 August 2023.
All research outputs
#8,034,518
of 25,728,350 outputs
Outputs from Frontiers in Plant Science
#4,822
of 24,918 outputs
Outputs of similar age
#118,280
of 358,067 outputs
Outputs of similar age from Frontiers in Plant Science
#84
of 908 outputs
Altmetric has tracked 25,728,350 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 24,918 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 358,067 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 66% of its contemporaries.
We're also able to compare this research output to 908 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 90% of its contemporaries.