| Title |
Living and dying in the U.S.A.: Sociodemographic determinants of death among blacks and whites
|
|---|---|
| Published in |
Demography, May 1992
|
| DOI | 10.2307/2061732 |
| Pubmed ID | |
| Authors |
Richard G. Rogers |
| Abstract |
This paper examines the demographic and social factors associated with differences in length of life by race. The results demonstrate that sociodemographic factors--age, sex, marital status, family size, and income--profoundly affect black and white mortality. Indeed, the racial gap in overall mortality could close completely with increased standards of living and improved lifestyles. Moreover, examining cause-specific mortality while adjusting for social factors shows that compared to whites, blacks have a lower mortality risk from respiratory diseases, accidents, and suicide; the same risk from circulatory diseases and cancer; and higher risks from infectious diseases, homicide, and diabetes. These results underscore the importance of examining social characteristics to understand more clearly the race differences in overall and cause-specific mortality. |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Germany | 1 | 2% |
| Unknown | 57 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 32% |
| Researcher | 9 | 15% |
| Student > Doctoral Student | 7 | 12% |
| Student > Bachelor | 6 | 10% |
| Professor > Associate Professor | 5 | 8% |
| Other | 10 | 17% |
| Unknown | 4 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 34 | 57% |
| Medicine and Dentistry | 6 | 10% |
| Psychology | 4 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 7 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 14 February 2019.
All research outputs
#1,626,754
of 22,867,327 outputs
Outputs from Demography
#447
of 1,859 outputs
Outputs of similar age
#318
of 19,157 outputs
Outputs of similar age from Demography
#1
of 6 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.8. This one has done well, scoring higher than 75% 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 19,157 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 98% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them