| Title |
Do social inequalities in health widen or converge with age? Longitudinal evidence from three cohorts in the West of Scotland
|
|---|---|
| Published in |
BMC Public Health, December 2011
|
| DOI | 10.1186/1471-2458-11-947 |
| Pubmed ID | |
| Authors |
Michaela Benzeval, Michael J Green, Alastair H Leyland |
| Abstract |
Existing studies are divided as to whether social inequalities in health widen or converge as people age. In part this is due to reliance on cross-sectional data, but also among longitudinal studies to differences in the measurement of both socioeconomic status (SES) and health and in the treatment of survival effects. The aim of this paper is to examine social inequalities in health as people age using longitudinal data from the West of Scotland Twenty-07 Study to investigate the effect of selective mortality, the timing of the SES measure and cohort on the inequality patterns. |
Twitter Demographics
The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 43% |
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Colombia | 1 | 1% |
| Unknown | 81 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 23% |
| Student > Master | 12 | 14% |
| Student > Ph. D. Student | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Lecturer > Senior Lecturer | 4 | 5% |
| Other | 22 | 26% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 27% |
| Social Sciences | 22 | 26% |
| Psychology | 6 | 7% |
| Economics, Econometrics and Finance | 5 | 6% |
| Nursing and Health Professions | 4 | 5% |
| Other | 10 | 12% |
| Unknown | 14 | 17% |
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 22 August 2012.
All research outputs
#6,590,632
of 23,314,015 outputs
Outputs from BMC Public Health
#6,940
of 15,200 outputs
Outputs of similar age
#58,478
of 245,770 outputs
Outputs of similar age from BMC Public Health
#70
of 198 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 15,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 52% 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 245,770 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 74% of its contemporaries.
We're also able to compare this research output to 198 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 64% of its contemporaries.