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The hepatic transcriptome in human liver disease

Overview of attention for article published in Comparative Hepatology, November 2006
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Title
The hepatic transcriptome in human liver disease
Published in
Comparative Hepatology, November 2006
DOI 10.1186/1476-5926-5-6
Pubmed ID
Authors

Nicholas A Shackel, Devanshi Seth, Paul S Haber, Mark D Gorrell, Geoffrey W McCaughan

Abstract

The transcriptome is the mRNA transcript pool in a cell, organ or tissue with the liver transcriptome being amongst the most complex of any organ. Functional genomics methodologies are now being widely utilized to study transcriptomes including the hepatic transcriptome. This review outlines commonly used methods of transcriptome analysis, especially gene array analysis, focusing on publications utilizing these methods to understand human liver disease. Additionally, we have outlined the relationship between transcript and protein expressions as well as summarizing what is known about the variability of the transcriptome in non-diseased liver tissue. The approaches covered include gene array analysis, serial analysis of gene expression, subtractive hybridization and differential display. The discussion focuses on primate whole organ studies and in-vitro cell culture systems utilized. It is now clear that there are a vast number research opportunities for transcriptome analysis of human liver disease as we attempt to better understand both non-diseased and disease hepatic mRNA expression. We conclude that hepatic transcriptome analysis has already made significant contributions to the understanding of human liver pathobiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Netherlands 1 2%
Brazil 1 2%
United Kingdom 1 2%
Argentina 1 2%
United States 1 2%
Unknown 44 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Student > Bachelor 6 12%
Professor 5 10%
Other 10 20%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 47%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 7 14%
Pharmacology, Toxicology and Pharmaceutical Science 2 4%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 7 14%
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 11 December 2012.
All research outputs
#15,265,264
of 22,699,621 outputs
Outputs from Comparative Hepatology
#14
of 23 outputs
Outputs of similar age
#61,325
of 69,918 outputs
Outputs of similar age from Comparative Hepatology
#1
of 1 outputs
Altmetric has tracked 22,699,621 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 23 research outputs from this source. They receive a mean Attention Score of 2.7. This one scored the same or higher as 9 of them.
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 69,918 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them