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Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions

Overview of attention for article published in Frontiers in Plant Science, June 2020
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2 X users

Citations

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45 Mendeley
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Title
Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions
Published in
Frontiers in Plant Science, June 2020
DOI 10.3389/fpls.2020.00827
Pubmed ID
Authors

Pauline Robert, Jacques Le Gouis, The BreedWheat Consortium, Renaud Rincent

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 27%
Student > Ph. D. Student 9 20%
Student > Doctoral Student 4 9%
Professor 2 4%
Other 2 4%
Other 3 7%
Unknown 13 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 51%
Biochemistry, Genetics and Molecular Biology 3 7%
Computer Science 3 7%
Arts and Humanities 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 July 2020.
All research outputs
#15,616,469
of 23,220,133 outputs
Outputs from Frontiers in Plant Science
#11,154
of 20,971 outputs
Outputs of similar age
#249,496
of 399,280 outputs
Outputs of similar age from Frontiers in Plant Science
#396
of 566 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,971 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 40th percentile – i.e., 40% 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 399,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 566 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.