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SNP-Based QTL Mapping of 15 Complex Traits in Barley under Rain-Fed and Well-Watered Conditions by a Mixed Modeling Approach

Overview of attention for article published in Frontiers in Plant Science, June 2016
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1 X user

Citations

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Title
SNP-Based QTL Mapping of 15 Complex Traits in Barley under Rain-Fed and Well-Watered Conditions by a Mixed Modeling Approach
Published in
Frontiers in Plant Science, June 2016
DOI 10.3389/fpls.2016.00909
Pubmed ID
Authors

Freddy Mora, Yerko A. Quitral, Ivan Matus, Joanne Russell, Robbie Waugh, Alejandro del Pozo

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
Netherlands 1 2%
Unknown 52 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 13 24%
Student > Bachelor 6 11%
Other 3 6%
Student > Doctoral Student 2 4%
Other 7 13%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 57%
Biochemistry, Genetics and Molecular Biology 5 9%
Engineering 2 4%
Arts and Humanities 1 2%
Psychology 1 2%
Other 1 2%
Unknown 13 24%
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 27 June 2016.
All research outputs
#23,196,437
of 25,837,817 outputs
Outputs from Frontiers in Plant Science
#20,008
of 24,929 outputs
Outputs of similar age
#326,961
of 370,398 outputs
Outputs of similar age from Frontiers in Plant Science
#414
of 538 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,929 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% 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 370,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 538 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.