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Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System

Overview of attention for article published in Demography, October 2012
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
5 news outlets
blogs
4 blogs
policy
2 policy sources
twitter
1 X user

Citations

dimensions_citation
225 Dimensions

Readers on

mendeley
263 Mendeley
Title
Trends in Occupational Segregation by Gender 1970–2009: Adjusting for the Impact of Changes in the Occupational Coding System
Published in
Demography, October 2012
DOI 10.1007/s13524-012-0151-7
Pubmed ID
Authors

Francine D. Blau, Peter Brummund, Albert Yung-Hsu Liu

Abstract

In this article, we develop a gender-specific crosswalk based on dual-coded Current Population Survey data to bridge the change in the census occupational coding system that occurred in 2000 and use it to provide the first analysis of the trends in occupational segregation by sex for the 1970-2009 period based on a consistent set of occupational codes and data sources. We show that our gender-specific crosswalk more accurately captures the trends in occupational segregation that are masked using the aggregate crosswalk (based on combined male and female employment) provided by the U.S. Census Bureau. Using the 2000 occupational codes, we find that segregation by sex declined substantially over the period but at a diminished pace over the decades, falling by only 1.1 percentage points (on a decadal basis) in the 2000s. A primary mechanism by which segregation was reduced was through the entry of new cohorts of women, presumably better prepared than their predecessors and/or encountering less labor market discrimination; during the 1970s and 1980s, however, occupational segregation also decreased within cohorts. Reductions in segregation were correlated with education, with the largest decrease among college graduates and very little change in segregation among high school dropouts.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Finland 1 <1%
Germany 1 <1%
Spain 1 <1%
United Kingdom 1 <1%
Unknown 256 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 61 23%
Researcher 31 12%
Student > Master 31 12%
Student > Doctoral Student 25 10%
Student > Bachelor 19 7%
Other 40 15%
Unknown 56 21%
Readers by discipline Count As %
Social Sciences 80 30%
Economics, Econometrics and Finance 57 22%
Business, Management and Accounting 25 10%
Psychology 11 4%
Medicine and Dentistry 6 2%
Other 22 8%
Unknown 62 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 68. 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 01 August 2021.
All research outputs
#598,820
of 24,546,092 outputs
Outputs from Demography
#158
of 2,002 outputs
Outputs of similar age
#3,109
of 178,247 outputs
Outputs of similar age from Demography
#4
of 27 outputs
Altmetric has tracked 24,546,092 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 2,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done particularly well, scoring higher than 92% 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 178,247 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 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.