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Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model

Overview of attention for article published in Genetics Selection Evolution, May 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Computational strategies for the preconditioned conjugate gradient method applied to ssSNPBLUP, with an application to a multivariate maternal model
Published in
Genetics Selection Evolution, May 2020
DOI 10.1186/s12711-020-00543-9
Pubmed ID
Authors

Jeremie Vandenplas, Herwin Eding, Maarten Bosmans, Mario P. L. Calus

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 13%
Lecturer 1 13%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Student > Master 1 13%
Other 2 25%
Unknown 1 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 50%
Unspecified 1 13%
Medicine and Dentistry 1 13%
Unknown 2 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 May 2020.
All research outputs
#6,722,525
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#198
of 821 outputs
Outputs of similar age
#141,053
of 420,957 outputs
Outputs of similar age from Genetics Selection Evolution
#11
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 75% 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 420,957 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.