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Flexible modelling of spatial variation in agricultural field trials with the R package INLA

Overview of attention for article published in Theoretical and Applied Genetics, September 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
43 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
72 Mendeley
Title
Flexible modelling of spatial variation in agricultural field trials with the R package INLA
Published in
Theoretical and Applied Genetics, September 2019
DOI 10.1007/s00122-019-03424-y
Pubmed ID
Authors

Maria Lie Selle, Ingelin Steinsland, John M. Hickey, Gregor Gorjanc

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 28%
Researcher 19 26%
Student > Master 7 10%
Student > Doctoral Student 4 6%
Student > Bachelor 3 4%
Other 8 11%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 56%
Biochemistry, Genetics and Molecular Biology 5 7%
Earth and Planetary Sciences 2 3%
Environmental Science 1 1%
Mathematics 1 1%
Other 4 6%
Unknown 19 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 2020.
All research outputs
#1,414,339
of 25,187,238 outputs
Outputs from Theoretical and Applied Genetics
#57
of 3,739 outputs
Outputs of similar age
#29,705
of 349,329 outputs
Outputs of similar age from Theoretical and Applied Genetics
#4
of 52 outputs
Altmetric has tracked 25,187,238 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,739 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 98% 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 349,329 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 52 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 94% of its contemporaries.