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Estimates of state-level chronic hepatitis C virus infection, stratified by race and sex, United States, 2010

Overview of attention for article published in BMC Infectious Diseases, May 2018
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Title
Estimates of state-level chronic hepatitis C virus infection, stratified by race and sex, United States, 2010
Published in
BMC Infectious Diseases, May 2018
DOI 10.1186/s12879-018-3133-6
Pubmed ID
Authors

Eric W. Hall, Eli S. Rosenberg, Patrick S. Sullivan

Abstract

Hepatitis C virus (HCV) is the most common blood-borne viral infection in the United States. Previously, we used data from the National Health and Nutrition Examination Survey (NHANES) and mortality data from the National Vital Statistics System (NVSS) to estimate the prevalence of HCV antibodies (anti-HCV) and HCV RNA among all U.S. states. However, demographic differences in HCV burden at the state-level have not been systematically described. This analysis quantified the HCV burden stratified by sex and race (and associated disparities) for each U.S. state. Building on our previous method, we used three publicly available data sources to estimate HCV RNA prevalence among noninstitutionalized adults stratified by sex and race group. We used a small-area estimation approach that included direct standardization of NHANES demographic data with logistic regression modeling of HCV-related mortality data as an adjustment factor to estimate the state-level prevalence and total persons with chronic HCV infection for sex and race groups in all U.S. states. Nationally, males had an estimated HCV RNA prevalence of 1.56% (95% CI: 1.37-1.84%) and females had a prevalence of 0.75% (95% CI: 0.63-0.96%). Stratified by race, national estimated prevalence of HCV RNA was highest among non-Hispanic black (2.43, 95% CI: 2.10-2.90%), followed by non-Hispanic white (1.05, 95% CI: 0.90-1.27%) and Hispanic/other (0.74, 95% CI: 0.59-1.04%). Males in most jurisdictions (41/51) have an HCV RNA prevalence that is between 1.5 and 2.5 times higher than their female counterparts. HCV infection disparities by sex are mostly consistent across the country. However, race differences in HCV infection differ by state and tailored prevention and treatment efforts specific to the local HCV epidemic are needed to reduce race disparities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 13%
Researcher 4 13%
Student > Master 4 13%
Student > Bachelor 3 10%
Student > Ph. D. Student 3 10%
Other 4 13%
Unknown 9 29%
Readers by discipline Count As %
Medicine and Dentistry 8 26%
Nursing and Health Professions 3 10%
Social Sciences 3 10%
Biochemistry, Genetics and Molecular Biology 2 6%
Computer Science 1 3%
Other 3 10%
Unknown 11 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 May 2018.
All research outputs
#17,955,429
of 23,057,470 outputs
Outputs from BMC Infectious Diseases
#5,174
of 7,733 outputs
Outputs of similar age
#237,339
of 327,739 outputs
Outputs of similar age from BMC Infectious Diseases
#82
of 141 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,733 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 327,739 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.