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Overview of attention for article published in Cost Effectiveness and Resource Allocation, January 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#24 of 461)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

5 policy sources
2 tweeters
2 Wikipedia pages


391 Dimensions

Readers on

460 Mendeley
3 CiteULike
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Published in
Cost Effectiveness and Resource Allocation, January 2003
DOI 10.1186/1478-7547-1-8
Pubmed ID

Raymond Hutubessy, Dan Chisholm, Tessa Edejer


Cost-effectiveness analysis (CEA) is potentially an important aid to public health decision-making but, with some notable exceptions, its use and impact at the level of individual countries is limited. A number of potential reasons may account for this, among them technical shortcomings associated with the generation of current economic evidence, political expediency, social preferences and systemic barriers to implementation. As a form of sectoral CEA, Generalized CEA sets out to overcome a number of these barriers to the appropriate use of cost-effectiveness information at the regional and country level. Its application via WHO-CHOICE provides a new economic evidence base, as well as underlying methodological developments, concerning the cost-effectiveness of a range of health interventions for leading causes of, and risk factors for, disease.The estimated sub-regional costs and effects of different interventions provided by WHO-CHOICE can readily be tailored to the specific context of individual countries, for example by adjustment to the quantity and unit prices of intervention inputs (costs) or the coverage, efficacy and adherence rates of interventions (effectiveness). The potential usefulness of this information for health policy and planning is in assessing if current intervention strategies represent an efficient use of scarce resources, and which of the potential additional interventions that are not yet implemented, or not implemented fully, should be given priority on the grounds of cost-effectiveness.Health policy-makers and programme managers can use results from WHO-CHOICE as a valuable input into the planning and prioritization of services at national level, as well as a starting point for additional analyses of the trade-off between the efficiency of interventions in producing health and their impact on other key outcomes such as reducing inequalities and improving the health of the poor.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
Brazil 3 <1%
Canada 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Indonesia 1 <1%
Nepal 1 <1%
Czechia 1 <1%
India 1 <1%
Other 5 1%
Unknown 437 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 96 21%
Researcher 94 20%
Student > Ph. D. Student 47 10%
Other 32 7%
Student > Doctoral Student 27 6%
Other 91 20%
Unknown 73 16%
Readers by discipline Count As %
Medicine and Dentistry 156 34%
Economics, Econometrics and Finance 45 10%
Social Sciences 38 8%
Nursing and Health Professions 31 7%
Agricultural and Biological Sciences 18 4%
Other 67 15%
Unknown 105 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 February 2022.
All research outputs
of 24,233,945 outputs
Outputs from Cost Effectiveness and Resource Allocation
of 461 outputs
Outputs of similar age
of 134,221 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
of 6 outputs
Altmetric has tracked 24,233,945 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 461 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 95% 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 134,221 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 6 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