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Attention Score in Context
| Title |
The future excess fraction model for calculating burden of disease
|
|---|---|
| Published in |
BMC Public Health, May 2016
|
| DOI | 10.1186/s12889-016-3066-1 |
| Pubmed ID | |
| Authors |
Lin Fritschi, Jayzii Chan, Sally J. Hutchings, Tim R. Driscoll, Adrian Y. W. Wong, Renee N. Carey |
| Abstract |
Estimates of the burden of disease caused by a particular agent are used to assist in making policy and prioritizing actions. Most estimations have employed the attributable fraction approach, which estimates the proportion of disease cases or deaths in a specific year which are attributable to past exposure to a particular agent. While this approach has proven extremely useful in quantifying health effects, it requires historical data on exposures which are not always available. We present an alternative method, the future excess fraction method, which is based on the lifetime risk approach, and which requires current rather than historical exposure data. This method estimates the future number of exposure-related disease cases or deaths occurring in the subgroup of the population who were exposed to the particular agent in a specific year. We explain this method and use publically-available data on current asbestos exposure and mesothelioma incidence to demonstrate the use of the method. Our approach to modelling burden of disease is useful when there are no historical measures of exposure and where future disease rates can be projected on person years at risk. |
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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 18% |
| Student > Bachelor | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Lecturer | 1 | 5% |
| Other | 4 | 18% |
| Unknown | 7 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 27% |
| Nursing and Health Professions | 3 | 14% |
| Environmental Science | 2 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Decision Sciences | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 6 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. 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 13 July 2022.
All research outputs
#680,417
of 22,842,950 outputs
Outputs from BMC Public Health
#695
of 14,884 outputs
Outputs of similar age
#13,741
of 309,480 outputs
Outputs of similar age from BMC Public Health
#17
of 184 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done particularly well, scoring higher than 95% of its peers.
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 309,480 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.