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Genome-wide expression assay comparison across frozen and fixed postmortem brain tissue samples

Overview of attention for article published in BMC Genomics, September 2011
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Title
Genome-wide expression assay comparison across frozen and fixed postmortem brain tissue samples
Published in
BMC Genomics, September 2011
DOI 10.1186/1471-2164-12-449
Pubmed ID
Authors

Maggie L Chow, Hai-Ri Li, Mary E Winn, Craig April, Cynthia C Barnes, Anthony Wynshaw-Boris, Jian-Bing Fan, Xiang-Dong Fu, Eric Courchesne, Nicholas J Schork

Abstract

Gene expression assays have been shown to yield high quality genome-wide data from partially degraded RNA samples. However, these methods have not yet been applied to postmortem human brain tissue, despite their potential to overcome poor RNA quality and other technical limitations inherent in many assays. We compared cDNA-mediated annealing, selection, and ligation (DASL)- and in vitro transcription (IVT)-based genome-wide expression profiling assays on RNA samples from artificially degraded reference pools, frozen brain tissue, and formalin-fixed brain tissue.

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The data shown below were collected from the profile of 1 X user 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 2%
Germany 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Professor 7 16%
Student > Ph. D. Student 6 14%
Student > Master 5 12%
Other 4 9%
Other 9 21%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 40%
Medicine and Dentistry 5 12%
Biochemistry, Genetics and Molecular Biology 4 9%
Psychology 3 7%
Mathematics 1 2%
Other 4 9%
Unknown 9 21%
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 15 September 2011.
All research outputs
#18,295,723
of 22,651,245 outputs
Outputs from BMC Genomics
#8,136
of 10,605 outputs
Outputs of similar age
#104,563
of 126,168 outputs
Outputs of similar age from BMC Genomics
#68
of 85 outputs
Altmetric has tracked 22,651,245 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 10,605 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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