| Title |
Genetic Bio-Ancestry and Social Construction of Racial Classification in Social Surveys in the Contemporary United States
|
|---|---|
| Published in |
Demography, September 2013
|
| DOI | 10.1007/s13524-013-0242-0 |
| Pubmed ID | |
| Authors |
Guang Guo, Yilan Fu, Hedwig Lee, Tianji Cai, Kathleen Mullan Harris, Yi Li |
| Abstract |
Self-reported race is generally considered the basis for racial classification in social surveys, including the U.S. census. Drawing on recent advances in human molecular genetics and social science perspectives of socially constructed race, our study takes into account both genetic bio-ancestry and social context in understanding racial classification. This article accomplishes two objectives. First, our research establishes geographic genetic bio-ancestry as a component of racial classification. Second, it shows how social forces trump biology in racial classification and/or how social context interacts with bio-ancestry in shaping racial classification. The findings were replicated in two racially and ethnically diverse data sets: the College Roommate Study (N = 2,065) and the National Longitudinal Study of Adolescent Health (N = 2,281). |
X Demographics
The data shown below were collected from the profiles of 47 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 | 6 | 13% |
| France | 3 | 6% |
| United Kingdom | 2 | 4% |
| Netherlands | 2 | 4% |
| Mexico | 1 | 2% |
| Denmark | 1 | 2% |
| Germany | 1 | 2% |
| Tunisia | 1 | 2% |
| Japan | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 27 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 85% |
| Scientists | 6 | 13% |
| Unknown | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Malaysia | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 82 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 31% |
| Researcher | 11 | 13% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 8 | 9% |
| Student > Master | 8 | 9% |
| Other | 11 | 13% |
| Unknown | 12 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 41 | 47% |
| Agricultural and Biological Sciences | 6 | 7% |
| Medicine and Dentistry | 5 | 6% |
| Psychology | 5 | 6% |
| Nursing and Health Professions | 2 | 2% |
| Other | 13 | 15% |
| Unknown | 15 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 63. 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 December 2023.
All research outputs
#688,269
of 25,791,495 outputs
Outputs from Demography
#188
of 2,024 outputs
Outputs of similar age
#5,524
of 211,765 outputs
Outputs of similar age from Demography
#2
of 11 outputs
Altmetric has tracked 25,791,495 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 2,024 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 90% of its peers.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.