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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

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 X user
patent
2 patents

Readers on

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42 Mendeley
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Article details
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
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.

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Kenya 1 2%
United Kingdom 1 2%
Canada 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 7 17%
Student > Ph. D. Student 7 17%
Other 4 10%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 24%
Medicine and Dentistry 8 19%
Biochemistry, Genetics and Molecular Biology 5 12%
Chemistry 2 5%
Environmental Science 1 2%
Other 6 14%
Unknown 10 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 July 2024.
All research outputs
#6,636,932
of 31,439,095 outputs
Outputs from Journal of Translational Medicine
#1,962
of 6,146 outputs
Outputs of similar age
#51,940
of 239,946 outputs
Outputs of similar age from Journal of Translational Medicine
#19
of 89 outputs
Altmetric has tracked 31,439,095 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,146 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 67% 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 239,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.