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Erratum to: Genomic prediction using subsampling

Overview of attention for article published in BMC Bioinformatics, April 2017
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twitter
1 tweeter

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1 Mendeley
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Title
Erratum to: Genomic prediction using subsampling
Published in
BMC Bioinformatics, April 2017
DOI 10.1186/s12859-017-1629-5
Pubmed ID
Authors

Alencar Xavier, Shizhong Xu, William Muir, Katy Martin Rainey

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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 28 April 2017.
All research outputs
#18,546,002
of 22,968,808 outputs
Outputs from BMC Bioinformatics
#6,342
of 7,306 outputs
Outputs of similar age
#235,315
of 309,828 outputs
Outputs of similar age from BMC Bioinformatics
#101
of 124 outputs
Altmetric has tracked 22,968,808 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 309,828 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.