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Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine

Overview of attention for article published in BMC Genomics, July 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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6 X users

Citations

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7 Dimensions

Readers on

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27 Mendeley
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Title
Multiple-trait analyses improved the accuracy of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine
Published in
BMC Genomics, July 2022
DOI 10.1186/s12864-022-08747-7
Pubmed ID
Authors

Eduardo P. Cappa, Charles Chen, Jennifer G. Klutsch, Jaime Sebastian-Azcona, Blaise Ratcliffe, Xiaojing Wei, Letitia Da Ros, Aziz Ullah, Yang Liu, Andy Benowicz, Shane Sadoway, Shawn D. Mansfield, Nadir Erbilgin, Barb R. Thomas, Yousry A. El-Kassaby

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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 22%
Student > Ph. D. Student 5 19%
Other 3 11%
Student > Doctoral Student 2 7%
Unspecified 1 4%
Other 1 4%
Unknown 9 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 41%
Biochemistry, Genetics and Molecular Biology 2 7%
Unspecified 1 4%
Nursing and Health Professions 1 4%
Environmental Science 1 4%
Other 2 7%
Unknown 9 33%
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 23 September 2022.
All research outputs
#7,168,149
of 23,393,453 outputs
Outputs from BMC Genomics
#3,287
of 10,757 outputs
Outputs of similar age
#134,745
of 433,423 outputs
Outputs of similar age from BMC Genomics
#45
of 161 outputs
Altmetric has tracked 23,393,453 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 10,757 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 67% 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 433,423 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 68% of its contemporaries.
We're also able to compare this research output to 161 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 72% of its contemporaries.