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Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos

Overview of attention for article published in BMC Research Notes, May 2012
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Title
Mouse strain specific gene expression differences for illumina microarray expression profiling in embryos
Published in
BMC Research Notes, May 2012
DOI 10.1186/1756-0500-5-232
Pubmed ID
Authors

Petra Kraus, Xing, Siew Lan Lim, Max E Fun, V Sivakamasundari, Sook Peng Yap, Haixia Lee, R Krishna Murthy Karuturi, Thomas Lufkin

Abstract

In the field of mouse genetics the advent of technologies like microarray based expression profiling dramatically increased data availability and sensitivity, yet these advanced methods are often vulnerable to the unavoidable heterogeneity of in vivo material and might therefore reflect differentially expressed genes between mouse strains of no relevance to a targeted experiment. The aim of this study was not to elaborate on the usefulness of microarray analysis in general, but to expand our knowledge regarding this potential "background noise" for the widely used Illumina microarray platform surpassing existing data which focused primarily on the adult sensory and nervous system, by analyzing patterns of gene expression at different embryonic stages using wild type strains and modern transgenic models of often non-isogenic backgrounds.

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

Geographical breakdown

Country Count As %
United Kingdom 1 7%
Canada 1 7%
Unknown 12 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Researcher 3 21%
Other 2 14%
Professor > Associate Professor 2 14%
Student > Master 1 7%
Other 2 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 50%
Agricultural and Biological Sciences 3 21%
Immunology and Microbiology 2 14%
Computer Science 1 7%
Unknown 1 7%

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 27 April 2013.
All research outputs
#10,018,171
of 12,519,627 outputs
Outputs from BMC Research Notes
#1,939
of 2,804 outputs
Outputs of similar age
#100,640
of 145,161 outputs
Outputs of similar age from BMC Research Notes
#4
of 5 outputs
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