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MPAgenomics: an R package for multi-patient analysis of genomic markers

Overview of attention for article published in BMC Bioinformatics, December 2014
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Citations

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2 Dimensions

Readers on

mendeley
14 Mendeley
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Title
MPAgenomics: an R package for multi-patient analysis of genomic markers
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/s12859-014-0394-y
Pubmed ID
Authors

Quentin Grimonprez, Alain Celisse, Samuel Blanck, Meyling Cheok, Martin Figeac, Guillemette Marot

Abstract

Last generations of Single Nucleotide Polymorphism (SNP) arrays allow to study copy-number variations in addition to genotyping measures.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 64%
Student > Ph. D. Student 3 21%
Lecturer > Senior Lecturer 1 7%
Student > Master 1 7%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 36%
Computer Science 4 29%
Agricultural and Biological Sciences 3 21%
Mathematics 1 7%
Medicine and Dentistry 1 7%
Other 0 0%

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 15 December 2014.
All research outputs
#11,070,250
of 14,573,111 outputs
Outputs from BMC Bioinformatics
#4,234
of 5,420 outputs
Outputs of similar age
#186,610
of 301,153 outputs
Outputs of similar age from BMC Bioinformatics
#261
of 326 outputs
Altmetric has tracked 14,573,111 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,420 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 16th percentile – i.e., 16% 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 301,153 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 326 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.