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Quantitative proteomic analysis in HCV-induced HCC reveals sets of proteins with potential significance for racial disparity

Overview of attention for article published in Journal of Translational Medicine, October 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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1 X user
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1 patent

Citations

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25 Dimensions

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39 Mendeley
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Title
Quantitative proteomic analysis in HCV-induced HCC reveals sets of proteins with potential significance for racial disparity
Published in
Journal of Translational Medicine, October 2013
DOI 10.1186/1479-5876-11-239
Pubmed ID
Authors

Simon T Dillon, Manoj K Bhasin, Xiaoxing Feng, David W Koh, Sayed S Daoud

Abstract

The incidence and mortality of hepatitis C virus (HCV)-induced hepatocellular carcinoma (HCC) is higher in African Americans (AA) than other racial/ethnic groups in the U.S., but the reasons for this disparity are unknown. There is an urgent need for the discovery of novel molecular signatures for HCV disease progression to understand the underlying biological basis for this cancer rate disparity to improve the clinical outcome.

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

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Kenya 1 3%
Canada 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Bachelor 6 15%
Other 4 10%
Student > Master 4 10%
Student > Doctoral Student 2 5%
Other 9 23%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 26%
Medicine and Dentistry 8 21%
Biochemistry, Genetics and Molecular Biology 4 10%
Psychology 2 5%
Chemistry 2 5%
Other 5 13%
Unknown 8 21%
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 18 November 2021.
All research outputs
#7,189,266
of 22,723,682 outputs
Outputs from Journal of Translational Medicine
#1,155
of 3,973 outputs
Outputs of similar age
#66,474
of 207,102 outputs
Outputs of similar age from Journal of Translational Medicine
#17
of 66 outputs
Altmetric has tracked 22,723,682 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,973 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 69% 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 207,102 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 66% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.