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The application of network label propagation to rank biomarkers in genome-wide Alzheimer’s data

Overview of attention for article published in BMC Genomics, January 2014
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Title
The application of network label propagation to rank biomarkers in genome-wide Alzheimer’s data
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-282
Pubmed ID
Authors

Matthew E Stokes, M Barmada, M Kamboh, Shyam Visweswaran

Abstract

Ranking and identifying biomarkers that are associated with disease from genome-wide measurements holds significant promise for understanding the genetic basis of common diseases. The large number of single nucleotide polymorphisms (SNPs) in genome-wide studies (GWAS), however, makes this task computationally challenging when the ranking is to be done in a multivariate fashion. This paper evaluates the performance of a multivariate graph-based method called label propagation (LP) that efficiently ranks SNPs in genome-wide data.

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

Geographical breakdown

Country Count As %
Brazil 1 3%
United States 1 3%
Unknown 35 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 27%
Researcher 8 22%
Student > Master 7 19%
Student > Bachelor 3 8%
Professor > Associate Professor 3 8%
Other 6 16%
Readers by discipline Count As %
Computer Science 10 27%
Agricultural and Biological Sciences 8 22%
Biochemistry, Genetics and Molecular Biology 5 14%
Medicine and Dentistry 3 8%
Unspecified 3 8%
Other 8 22%

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 21 April 2014.
All research outputs
#8,365,154
of 10,616,067 outputs
Outputs from BMC Genomics
#5,252
of 6,717 outputs
Outputs of similar age
#124,104
of 184,166 outputs
Outputs of similar age from BMC Genomics
#157
of 217 outputs
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So far Altmetric has tracked 6,717 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.