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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Projection scenarios of body mass index (2013–2030) for Public Health Planning in Quebec
|
|---|---|
| Published in |
BMC Public Health, September 2014
|
| DOI | 10.1186/1471-2458-14-996 |
| Pubmed ID | |
| Authors |
Ernest Lo, Denis Hamel, Yun Jen, Patricia Lamontagne, Sylvie Martel, Colin Steensma, Chantal Blouin, Russell Steele |
| Abstract |
Projection analyses can provide estimates of the future health burden of increasing BMI and represent a relevant and useful tool for public health planning. Our study presents long-term (2013-2030) projections of the prevalence and numbers of individuals by BMI category for adult men and women in Quebec. Three applications of projections to estimate outcomes more directly pertinent to public health planning, as well as an in-depth discussion of limits, are provided with the aim of encouraging greater use of projection analyses by public health officers. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 30 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Student > Bachelor | 3 | 10% |
| Professor | 3 | 10% |
| Researcher | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Other | 5 | 16% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 26% |
| Nursing and Health Professions | 5 | 16% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Chemistry | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 08 December 2014.
All research outputs
#13,066,724
of 22,769,322 outputs
Outputs from BMC Public Health
#9,124
of 14,840 outputs
Outputs of similar age
#115,753
of 252,136 outputs
Outputs of similar age from BMC Public Health
#168
of 275 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,840 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 37th percentile – i.e., 37% 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 252,136 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 53% of its contemporaries.
We're also able to compare this research output to 275 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.