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Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers

Overview of attention for article published in Cost Effectiveness and Resource Allocation, January 2014
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1 Facebook page

Citations

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11 Dimensions

Readers on

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73 Mendeley
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Title
Multi-criteria decision analysis of breast cancer control in low- and middle- income countries: development of a rating tool for policy makers
Published in
Cost Effectiveness and Resource Allocation, January 2014
DOI 10.1186/1478-7547-12-13
Pubmed ID
Authors

Kristie Venhorst, Sten G Zelle, Noor Tromp, Jeremy A Lauer

Abstract

The objective of this study was to develop a rating tool for policy makers to prioritize breast cancer interventions in low- and middle- income countries (LMICs), based on a simple multi-criteria decision analysis (MCDA) approach. The definition and identification of criteria play a key role in MCDA, and our rating tool could be used as part of a broader priority setting exercise in a local setting. This tool may contribute to a more transparent priority-setting process and fairer decision-making in future breast cancer policy development.

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Brazil 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Student > Master 14 19%
Student > Bachelor 11 15%
Student > Postgraduate 7 10%
Student > Doctoral Student 6 8%
Other 11 15%
Unknown 10 14%
Readers by discipline Count As %
Medicine and Dentistry 20 27%
Social Sciences 10 14%
Engineering 8 11%
Nursing and Health Professions 5 7%
Agricultural and Biological Sciences 5 7%
Other 11 15%
Unknown 14 19%

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 27 December 2014.
All research outputs
#3,799,416
of 4,691,823 outputs
Outputs from Cost Effectiveness and Resource Allocation
#108
of 113 outputs
Outputs of similar age
#122,100
of 155,743 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#9
of 10 outputs
Altmetric has tracked 4,691,823 research outputs across all sources so far. This one is in the 3rd percentile – i.e., 3% of other outputs scored the same or lower than it.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 155,743 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.