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Bayesian analysis and prediction of hybrid performance

Overview of attention for article published in Plant Methods, February 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
86 Mendeley
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Title
Bayesian analysis and prediction of hybrid performance
Published in
Plant Methods, February 2019
DOI 10.1186/s13007-019-0388-x
Pubmed ID
Authors

Filipe Couto Alves, Ítalo Stefanine Correa Granato, Giovanni Galli, Danilo Hottis Lyra, Roberto Fritsche-Neto, Gustavo de los Campos

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 21%
Student > Master 15 17%
Researcher 10 12%
Student > Doctoral Student 5 6%
Professor 4 5%
Other 15 17%
Unknown 19 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 56%
Biochemistry, Genetics and Molecular Biology 4 5%
Engineering 3 3%
Computer Science 2 2%
Arts and Humanities 1 1%
Other 4 5%
Unknown 24 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 February 2019.
All research outputs
#8,659,127
of 14,354,509 outputs
Outputs from Plant Methods
#432
of 660 outputs
Outputs of similar age
#176,540
of 323,177 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 14,354,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 30th percentile – i.e., 30% 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 323,177 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them