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Mendeley readers
Attention Score in Context
| 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, May 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 105 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 | 103 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 18% |
| Student > Ph. D. Student | 16 | 15% |
| Student > Bachelor | 13 | 12% |
| Student > Postgraduate | 9 | 9% |
| Student > Doctoral Student | 8 | 8% |
| Other | 16 | 15% |
| Unknown | 24 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 30% |
| Nursing and Health Professions | 9 | 9% |
| Social Sciences | 9 | 9% |
| Engineering | 8 | 8% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 29 | 28% |
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
#22,758,309
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#506
of 533 outputs
Outputs of similar age
#208,651
of 241,444 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#6
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 533 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 241,444 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 6 others from the same source and published within six weeks on either side of this one.