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Genomics and proteomics in liver fibrosis and cirrhosis

Overview of attention for article published in Fibrogenesis & Tissue Repair, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

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1 X user
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1 patent

Citations

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58 Dimensions

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98 Mendeley
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Title
Genomics and proteomics in liver fibrosis and cirrhosis
Published in
Fibrogenesis & Tissue Repair, January 2012
DOI 10.1186/1755-1536-5-1
Pubmed ID
Authors

Rebekka A Hannivoort, Virginia Hernandez-Gea, Scott L Friedman

Abstract

Genomics and proteomics have become increasingly important in biomedical science in the past decade, as they provide an opportunity for hypothesis-free experiments that can yield major insights not previously foreseen when scientific and clinical questions are based only on hypothesis-driven approaches. Use of these tools, therefore, opens new avenues for uncovering physiological and pathological pathways. Liver fibrosis is a complex disease provoked by a range of chronic injuries to the liver, among which are viral hepatitis, (non-) alcoholic steatohepatitis and autoimmune disorders. Some chronic liver patients will never develop fibrosis or cirrhosis, whereas others rapidly progress towards cirrhosis in a few years. This variety can be caused by disease-related factors (for example, viral genotype) or host-factors (genetic/epigenetic). It is vital to establish accurate tools to identify those patients at highest risk for disease severity or progression in order to determine who are in need of immediate therapies. Moreover, there is an urgent imperative to identify non-invasive markers that can accurately distinguish mild and intermediate stages of fibrosis. Ideally, biomarkers can be used to predict disease progression and treatment response, but these studies will take many years due to the requirement for lengthy follow-up periods to assess outcomes. Current genomic and proteomic research provides many candidate biomarkers, but independent validation of these biomarkers is lacking, and reproducibility is still a key concern. Thus, great opportunities and challenges lie ahead in the field of genomics and proteomics, which, if successful, could transform the diagnosis and treatment of chronic fibrosing liver diseases.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
India 3 3%
United Kingdom 1 1%
Denmark 1 1%
Spain 1 1%
United States 1 1%
Croatia 1 1%
Unknown 90 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Ph. D. Student 18 18%
Student > Doctoral Student 9 9%
Student > Bachelor 8 8%
Other 7 7%
Other 19 19%
Unknown 16 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 31%
Medicine and Dentistry 25 26%
Biochemistry, Genetics and Molecular Biology 16 16%
Engineering 2 2%
Computer Science 2 2%
Other 3 3%
Unknown 20 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 October 2013.
All research outputs
#6,911,194
of 22,662,201 outputs
Outputs from Fibrogenesis & Tissue Repair
#30
of 83 outputs
Outputs of similar age
#64,022
of 244,204 outputs
Outputs of similar age from Fibrogenesis & Tissue Repair
#2
of 3 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 83 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 62% of its peers.
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 244,204 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.