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Postmortem cardiac tissue maintains gene expression profile even after late harvesting

Overview of attention for article published in BMC Genomics, January 2012
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Title
Postmortem cardiac tissue maintains gene expression profile even after late harvesting
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-26
Pubmed ID
Authors

Simone Gupta, Marc K Halushka, Gina M Hilton, Dan E Arking

Abstract

Gene expression studies can be used to help identify disease-associated genes by comparing the levels of expressed transcripts between cases and controls, and to identify functional genetic variants (expression quantitative loci or eQTLs) by comparing expression levels between individuals with different genotypes. While many of these studies are performed in blood or lymphoblastoid cell lines due to tissue accessibility, the relevance of expression differences in tissues that are not the primary site of disease is unclear. Further, many eQTLs are tissue specific. Thus, there is a clear and compelling need to conduct gene expression studies in tissues that are specifically relevant to the disease of interest. One major technical concern about using autopsy-derived tissue is how representative it is of physiologic conditions, given the effect of postmortem interval on tissue degradation.

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

Geographical breakdown

Country Count As %
India 1 3%
Lithuania 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 7 18%
Other 4 10%
Professor 4 10%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 14 35%
Agricultural and Biological Sciences 8 20%
Biochemistry, Genetics and Molecular Biology 4 10%
Business, Management and Accounting 2 5%
Computer Science 1 3%
Other 1 3%
Unknown 10 25%
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 19 January 2012.
All research outputs
#15,241,259
of 22,661,413 outputs
Outputs from BMC Genomics
#6,658
of 10,612 outputs
Outputs of similar age
#162,848
of 245,786 outputs
Outputs of similar age from BMC Genomics
#164
of 279 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,612 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 245,786 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 279 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.