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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 (67th percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

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21 Dimensions

Readers on

mendeley
34 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 34 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 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Student > Master 5 15%
Student > Bachelor 4 12%
Other 3 9%
Student > Postgraduate 3 9%
Other 9 26%
Unknown 4 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 29%
Medicine and Dentistry 8 24%
Biochemistry, Genetics and Molecular Biology 3 9%
Psychology 2 6%
Decision Sciences 1 3%
Other 5 15%
Unknown 5 15%

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
#6,200,955
of 19,782,046 outputs
Outputs from Journal of Translational Medicine
#976
of 3,473 outputs
Outputs of similar age
#57,421
of 183,605 outputs
Outputs of similar age from Journal of Translational Medicine
#1
of 1 outputs
Altmetric has tracked 19,782,046 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 3,473 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has gotten more attention than average, scoring higher than 70% 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 183,605 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 67% of its contemporaries.
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