| Title |
Disentangling the Effects of Racial Self-identification and Classification by Others: The Case of Arrest
|
|---|---|
| Published in |
Demography, May 2015
|
| DOI | 10.1007/s13524-015-0394-1 |
| Pubmed ID | |
| Authors |
Andrew M. Penner, Aliya Saperstein |
| Abstract |
Scholars of race have stressed the importance of thinking about race as a multidimensional construct, yet research on racial inequality does not routinely take this multidimensionality into account. We draw on data from the U.S. National Longitudinal Study of Adolescent Health to disentangle the effects of self-identifying as black and being classified by others as black on subsequently being arrested. Results reveal that the odds of arrest are nearly three times higher for people who were classified by others as black, even if they did not identify themselves as black. By contrast, we find no effect of self-identifying as black among people who were not seen by others as black. These results suggest that racial perceptions play an important role in racial disparities in arrest rates and provide a useful analytical approach for disentangling the effects of race on other outcomes. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| United States | 2 | 33% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| Unknown | 50 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 35% |
| Student > Doctoral Student | 6 | 12% |
| Researcher | 4 | 8% |
| Professor | 4 | 8% |
| Student > Master | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 29 | 56% |
| Psychology | 4 | 8% |
| Nursing and Health Professions | 2 | 4% |
| Neuroscience | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 12 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 02 September 2017.
All research outputs
#1,563,745
of 24,460,744 outputs
Outputs from Demography
#422
of 1,998 outputs
Outputs of similar age
#19,878
of 271,119 outputs
Outputs of similar age from Demography
#8
of 25 outputs
Altmetric has tracked 24,460,744 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,998 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 well, scoring higher than 78% of its peers.
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We're also able to compare this research output to 25 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 72% of its contemporaries.