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The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis

Overview of attention for article published in Frontiers in Physiology, January 2013
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

blogs
1 blog
twitter
3 X users

Readers on

mendeley
670 Mendeley
citeulike
2 CiteULike
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Title
The statistical analysis of multi-environment data: modeling genotype-by-environment interaction and its genetic basis
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00044
Pubmed ID
Authors

Marcos Malosetti, Jean-Marcel Ribaut, Fred A. van Eeuwijk

Timeline

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X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 670 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 9 1%
United States 4 <1%
France 2 <1%
Indonesia 1 <1%
Germany 1 <1%
Italy 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Other 4 <1%
Unknown 645 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 21%
Researcher 125 19%
Student > Master 106 16%
Student > Doctoral Student 45 7%
Student > Bachelor 26 4%
Other 96 14%
Unknown 134 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 416 62%
Biochemistry, Genetics and Molecular Biology 28 4%
Mathematics 16 2%
Environmental Science 13 2%
Arts and Humanities 5 <1%
Other 30 4%
Unknown 162 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 November 2020.
All research outputs
#2,805,890
of 25,998,826 outputs
Outputs from Frontiers in Physiology
#1,516
of 15,726 outputs
Outputs of similar age
#27,022
of 295,359 outputs
Outputs of similar age from Frontiers in Physiology
#45
of 399 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,726 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 90% 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 295,359 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 90% of its contemporaries.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.