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Dove Medical Press

Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, June 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
44 Mendeley
Title
Health policy model: long-term predictive results associated with the management of hepatitis C virus-induced diseases in Italy
Published in
ClinicoEconomics and Outcomes Research: CEOR, June 2014
DOI 10.2147/ceor.s62092
Pubmed ID
Authors

Francesco Saverio Mennini, Andrea Marcellusi, Massimo Andreoni, Antonio Gasbarrini, Salvatore Salomone, Antonio Craxì

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Slovenia 1 2%
Brazil 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Master 5 11%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Student > Bachelor 3 7%
Other 10 23%
Unknown 10 23%
Readers by discipline Count As %
Medicine and Dentistry 10 23%
Economics, Econometrics and Finance 5 11%
Social Sciences 4 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Nursing and Health Professions 2 5%
Other 8 18%
Unknown 12 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 January 2015.
All research outputs
#14,529,933
of 25,806,080 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#253
of 527 outputs
Outputs of similar age
#114,828
of 241,821 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#5
of 11 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 51% 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 241,821 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 52% of its contemporaries.
We're also able to compare this research output to 11 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 54% of its contemporaries.