Title |
Gender-Based Occupational Segregation and Sex Differences in Sensory, Motor, and Spatial Aptitudes
|
---|---|
Published in |
Demography, September 2018
|
DOI | 10.1007/s13524-018-0706-3 |
Pubmed ID | |
Authors |
Michael Baker, Kirsten Cornelson |
Abstract |
Research on sex differences in humans documents gender differences in sensory, motor, and spatial aptitudes. These aptitudes, as captured by Dictionary of Occupational Titles (DOT) codes, predict the occupational choices of men and women in the directions indicated by this research. We simulate that eliminating selection on these skills reduces the Duncan index of gender-based occupational segregation by 20 % to 23 % in 1970 and 2012, respectively. Eliminating selection on DOT variables capturing other accounts of this segregation has a smaller impact. |
X Demographics
The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 18% |
United Kingdom | 4 | 5% |
Canada | 3 | 3% |
Japan | 3 | 3% |
India | 2 | 2% |
Australia | 2 | 2% |
Ireland | 1 | 1% |
Latvia | 1 | 1% |
Finland | 1 | 1% |
Other | 6 | 7% |
Unknown | 49 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 77 | 88% |
Scientists | 6 | 7% |
Practitioners (doctors, other healthcare professionals) | 3 | 3% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Denmark | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 76 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 22% |
Student > Master | 15 | 19% |
Researcher | 10 | 13% |
Student > Bachelor | 5 | 6% |
Student > Doctoral Student | 3 | 4% |
Other | 10 | 13% |
Unknown | 19 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Economics, Econometrics and Finance | 20 | 25% |
Social Sciences | 16 | 20% |
Psychology | 8 | 10% |
Nursing and Health Professions | 4 | 5% |
Business, Management and Accounting | 3 | 4% |
Other | 8 | 10% |
Unknown | 20 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 70. 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
#620,958
of 25,724,500 outputs
Outputs from Demography
#169
of 2,023 outputs
Outputs of similar age
#13,127
of 349,107 outputs
Outputs of similar age from Demography
#5
of 28 outputs
Altmetric has tracked 25,724,500 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 2,023 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has done particularly well, scoring higher than 91% 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 349,107 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 96% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.