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Erratum to: Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis

Overview of attention for article published in BMC Bioinformatics, August 2016
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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7 Mendeley
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Title
Erratum to: Practical impacts of genomic data “cleaning” on biological discovery using surrogate variable analysis
Published in
BMC Bioinformatics, August 2016
DOI 10.1186/s12859-016-1152-0
Pubmed ID
Authors

Andrew E. Jaffe, Thomas Hyde, Joel Kleinman, Daniel R. Weinberger, Joshua G. Chenoweth, Ronald D. McKay, Jeffrey T. Leek, Carlo Colantuoni

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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Professor > Associate Professor 1 14%
Student > Doctoral Student 1 14%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Computer Science 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 2 29%
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 11 August 2016.
All research outputs
#18,467,278
of 22,882,389 outputs
Outputs from BMC Bioinformatics
#6,330
of 7,298 outputs
Outputs of similar age
#275,559
of 357,745 outputs
Outputs of similar age from BMC Bioinformatics
#93
of 115 outputs
Altmetric has tracked 22,882,389 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 7,298 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 357,745 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.