↓ Skip to main content

Leisure Inequality in the United States: 1965–2003

Overview of attention for article published in Demography, May 2012
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
37 Mendeley
Title
Leisure Inequality in the United States: 1965–2003
Published in
Demography, May 2012
DOI 10.1007/s13524-012-0100-5
Pubmed ID
Authors

Almudena Sevilla, Jose I. Gimenez-Nadal, Jonathan Gershuny

Abstract

This article exploits the complex sequential structure of the diary data in the American Heritage Time Use Study (AHTUS) and constructs three classes of indicators that capture the quality of leisure (pure leisure, co-present leisure, and leisure fragmentation) to show that the relative growth in leisure time enjoyed by low-educated individuals documented in previous studies has been accompanied by a relative decrease in the quality of that leisure time. These results are not driven by any single leisure activity, such as time spent watching television. Our findings may offer a more comprehensive picture of inequality in the United States and provide a basis for weighing the relative decline in earnings and consumption for the less-educated against the simultaneous relative growth of leisure.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 35%
Student > Master 7 19%
Researcher 5 14%
Student > Doctoral Student 5 14%
Professor > Associate Professor 3 8%
Other 4 11%
Readers by discipline Count As %
Social Sciences 15 41%
Economics, Econometrics and Finance 11 30%
Unspecified 5 14%
Psychology 1 3%
Business, Management and Accounting 1 3%
Other 4 11%

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 24 October 2012.
All research outputs
#1,759,241
of 4,507,144 outputs
Outputs from Demography
#311
of 479 outputs
Outputs of similar age
#23,820
of 74,988 outputs
Outputs of similar age from Demography
#3
of 8 outputs
Altmetric has tracked 4,507,144 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 479 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 34th percentile – i.e., 34% 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 74,988 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 67% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.