| Title |
Estimating and validating disability-adjusted life years at the global level: a methodological framework for cancer
|
|---|---|
| Published in |
BMC Medical Research Methodology, August 2012
|
| DOI | 10.1186/1471-2288-12-125 |
| Pubmed ID | |
| Authors |
Isabelle Soerjomataram, Joannie Lortet-Tieulent, Jacques Ferlay, David Forman, Colin Mathers, D Maxwell Parkin, Freddie Bray |
| Abstract |
Disability-adjusted life years (DALYs) link data on disease occurrence to health outcomes, and they are a useful aid in establishing country-specific agendas regarding cancer control. The variables required to compute DALYs are however multiple and not readily available in many countries. We propose a methodology that derives global DALYs and validate variables and DALYs based on data from various cancer registries. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Croatia | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 128 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 25 | 19% |
| Student > Ph. D. Student | 20 | 15% |
| Student > Master | 13 | 10% |
| Student > Postgraduate | 10 | 8% |
| Student > Bachelor | 9 | 7% |
| Other | 27 | 21% |
| Unknown | 27 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 34% |
| Nursing and Health Professions | 12 | 9% |
| Agricultural and Biological Sciences | 7 | 5% |
| Economics, Econometrics and Finance | 5 | 4% |
| Social Sciences | 5 | 4% |
| Other | 25 | 19% |
| Unknown | 32 | 24% |
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 29 October 2012.
All research outputs
#18,319,742
of 22,684,168 outputs
Outputs from BMC Medical Research Methodology
#1,726
of 2,001 outputs
Outputs of similar age
#129,682
of 169,179 outputs
Outputs of similar age from BMC Medical Research Methodology
#23
of 30 outputs
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We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.