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Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD

Overview of attention for article published in BMC Proceedings, October 2014
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Mentioned by

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1 X user

Readers on

mendeley
56 Mendeley
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Title
Regularized group regression methods for genomic prediction: Bridge, MCP, SCAD, group bridge, group lasso, sparse group lasso, group MCP and group SCAD
Published in
BMC Proceedings, October 2014
DOI 10.1186/1753-6561-8-s5-s7
Pubmed ID
Authors

Joseph O Ogutu, Hans-Peter Piepho

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 32%
Researcher 14 25%
Student > Master 7 13%
Student > Doctoral Student 5 9%
Other 3 5%
Other 4 7%
Unknown 5 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Mathematics 11 20%
Computer Science 5 9%
Biochemistry, Genetics and Molecular Biology 2 4%
Economics, Econometrics and Finance 2 4%
Other 8 14%
Unknown 12 21%
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 25 January 2018.
All research outputs
#15,489,831
of 23,018,998 outputs
Outputs from BMC Proceedings
#211
of 374 outputs
Outputs of similar age
#149,062
of 255,612 outputs
Outputs of similar age from BMC Proceedings
#16
of 27 outputs
Altmetric has tracked 23,018,998 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 374 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 31st percentile – i.e., 31% 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 255,612 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.