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Gene expression profiling of HCV genotype 3a initial liver fibrosis and cirrhosis patients using microarray

Overview of attention for article published in Journal of Translational Medicine, March 2012
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2 X users

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33 Mendeley
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Title
Gene expression profiling of HCV genotype 3a initial liver fibrosis and cirrhosis patients using microarray
Published in
Journal of Translational Medicine, March 2012
DOI 10.1186/1479-5876-10-41
Pubmed ID
Authors

Waqar Ahmad, Bushra Ijaz, Sajida Hassan

Abstract

Hepatitis C virus (HCV) causes liver fibrosis that may lead to liver cirrhosis or hepatocellular carcinoma (HCC), and may partially depend on infecting viral genotype. HCV genotype 3a is being more common in Asian population, especially Pakistan; the detail mechanism of infection still needs to be explored. In this study, we investigated and compared the gene expression profile between initial fibrosis stage and cirrhotic 3a genotype patients.

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

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 27%
Researcher 7 21%
Other 3 9%
Student > Bachelor 2 6%
Professor 2 6%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 24%
Medicine and Dentistry 7 21%
Immunology and Microbiology 4 12%
Biochemistry, Genetics and Molecular Biology 4 12%
Psychology 2 6%
Other 2 6%
Unknown 6 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 March 2012.
All research outputs
#14,143,536
of 22,663,969 outputs
Outputs from Journal of Translational Medicine
#1,766
of 3,954 outputs
Outputs of similar age
#92,512
of 156,170 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 49 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 156,170 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.