| Title |
Decomposing change in life expectancy: A bouquet of formulas in honor of Nathan Keyfitz’s 90th birthday
|
|---|---|
| Published in |
Demography, May 2003
|
| DOI | 10.1353/dem.2003.0018 |
| Pubmed ID | |
| Authors |
James W. Vaupel, Vladimir Canudas Romo |
| Abstract |
We extend Nathan Keyfitz's research on continuous change in life expectancy over time by presenting and proving a new formula for decomposing such change. The formula separates change in life expectancy over time into two terms. The first term captures the general effect of reduction in death rates at all ages, and the second term captures the effect of heterogeneity in the pace of improvement in mortality at different ages. We extend the formula to decompose change in life expectancy into age-specific and cause-specific components, and apply the methods to analyze changes in life expectancy in Sweden and Japan. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 34% |
| Researcher | 6 | 21% |
| Student > Doctoral Student | 3 | 10% |
| Student > Master | 2 | 7% |
| Professor | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 13 | 45% |
| Mathematics | 2 | 7% |
| Economics, Econometrics and Finance | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Environmental Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 31% |
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 29 March 2022.
All research outputs
#7,538,708
of 25,837,817 outputs
Outputs from Demography
#1,374
of 2,036 outputs
Outputs of similar age
#17,455
of 56,544 outputs
Outputs of similar age from Demography
#8
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one is in the 31st percentile – i.e., 31% 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 56,544 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 66% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.