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Does the Strategy of Risk Group Testing for Hepatitis C Hit the Target?

Overview of attention for article published in Frontiers in Pharmacology, June 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

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1 policy source
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1 X user

Citations

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2 Dimensions

Readers on

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38 Mendeley
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Title
Does the Strategy of Risk Group Testing for Hepatitis C Hit the Target?
Published in
Frontiers in Pharmacology, June 2017
DOI 10.3389/fphar.2017.00437
Pubmed ID
Authors

Mirjana R. Jovanovic, Aleksandar Miljatovic, Laslo Puskas, Slobodan Kapor, Dijana L. Puskas

Abstract

In the European Union, it is estimated that there are 5.5 million individuals with chronic infection of hepatitis C. Intravenous drug abuse is undoubtedly the key source of the hepatitis C epidemic in Europe and the most efficient mode of transmission of HCV infections (primarily due to short incubation time, but also because the virus is introduced directly into the blood stream with the infected needle). Potentially high-risk and vulnerable populations in Europe (and the world) include immigrants, prisoners, sex workers, men having sex with men, individuals infected with HIV, psychoactive substance users etc. Since there is a lack of direct evidence of clinical benefits of HCV testing, decisions related to testing are made based on indirect evidence. Clinical practice has shown that HCV antibody tests are mostly adequate for identification of HCV infection, but the problem is that this testing strategy does not hit the target. As a result of this health care system strategy, a large number of infected patients remain undetected or they are diagnosed late. There is only a vague link between screening and treatment outcomes since there is a lack of evidence on transmission risks, multiple causes, risk behavior, ways of reaching screening decisions, treatment efficiency, etc. According to results of limited number of studies it can be concluded that there is a need to develop targeted programmes for detection of HCV and other infections, but there also a need to decrease potential harms.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Researcher 6 16%
Student > Ph. D. Student 4 11%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 2 5%
Unknown 14 37%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Nursing and Health Professions 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Immunology and Microbiology 2 5%
Psychology 2 5%
Other 4 11%
Unknown 15 39%
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 10 August 2022.
All research outputs
#7,286,286
of 22,985,065 outputs
Outputs from Frontiers in Pharmacology
#3,073
of 16,266 outputs
Outputs of similar age
#115,680
of 314,551 outputs
Outputs of similar age from Frontiers in Pharmacology
#59
of 252 outputs
Altmetric has tracked 22,985,065 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 16,266 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done well, scoring higher than 80% 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 314,551 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 62% of its contemporaries.
We're also able to compare this research output to 252 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 74% of its contemporaries.