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WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants

Overview of attention for article published in Genome Biology, May 2019
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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 (82nd percentile)

Mentioned by

twitter
18 X users

Readers on

mendeley
77 Mendeley
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Article details
Title
WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants
Published in
Genome Biology, May 2019
DOI 10.1186/s13059-019-1697-0
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 20 26%
Researcher 14 18%
Student > Bachelor 7 9%
Student > Doctoral Student 4 5%
Student > Master 4 5%
Other 12 16%
Unknown 16 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 41 53%
Biochemistry, Genetics and Molecular Biology 6 8%
Computer Science 4 5%
Environmental Science 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 18 23%
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 28 October 2019.
All research outputs
#3,598,198
of 28,070,105 outputs
Outputs from Genome Biology
#2,421
of 4,789 outputs
Outputs of similar age
#64,331
of 368,431 outputs
Outputs of similar age from Genome Biology
#51
of 67 outputs
Altmetric has tracked 28,070,105 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,789 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 368,431 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 82% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.