| Title |
Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints
|
|---|---|
| Published in |
BMC Public Health, November 2014
|
| DOI | 10.1186/1471-2458-14-1196 |
| Pubmed ID | |
| Authors |
Brecht Devleesschauwer, Charline Maertens de Noordhout, G Suzanne A Smit, Luc Duchateau, Pierre Dorny, Claudia Stein, Herman Van Oyen, Niko Speybroeck |
| Abstract |
To support public health policy, information on the burden of disease is essential. In recent years, the Disability-Adjusted Life Year (DALY) has emerged as the most important summary measure of public health. DALYs quantify the number of healthy life years lost due to morbidity and mortality, and thereby facilitate the comparison of the relative impact of diseases and risk factors and the monitoring of public health over time. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 2 | 40% |
| Spain | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bangladesh | 1 | <1% |
| Ecuador | 1 | <1% |
| Taiwan | 1 | <1% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 128 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 30 | 23% |
| Student > Ph. D. Student | 18 | 14% |
| Student > Bachelor | 12 | 9% |
| Researcher | 11 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 22 | 17% |
| Unknown | 32 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 26% |
| Nursing and Health Professions | 13 | 10% |
| Social Sciences | 9 | 7% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Agricultural and Biological Sciences | 6 | 5% |
| Other | 25 | 19% |
| Unknown | 39 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 December 2014.
All research outputs
#7,137,546
of 22,771,140 outputs
Outputs from BMC Public Health
#7,498
of 14,843 outputs
Outputs of similar age
#101,538
of 361,837 outputs
Outputs of similar age from BMC Public Health
#115
of 236 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 14,843 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 48th percentile – i.e., 48% 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 361,837 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 71% of its contemporaries.
We're also able to compare this research output to 236 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 50% of its contemporaries.