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Racial differences in depression in the United States: how do subgroup analyses inform a paradox?

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

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93 Dimensions

Readers on

mendeley
115 Mendeley
Title
Racial differences in depression in the United States: how do subgroup analyses inform a paradox?
Published in
Social Psychiatry and Psychiatric Epidemiology, June 2013
DOI 10.1007/s00127-013-0718-7
Pubmed ID
Authors

David M. Barnes, Katherine M. Keyes, Lisa M. Bates

Abstract

Non-Hispanic Blacks in the US have lower rates of major depression than non-Hispanic Whites, in national household samples. This has been termed a "paradox," as Blacks suffer greater exposure to social stressors, a risk factor for depression. Subgroup analyses can inform hypotheses to explain this paradox. For example, it has been suggested that selection bias in household samples undercounts depression in Blacks; if selection is driving the paradox, Black-White differences should be most pronounced among young men with low education.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 113 98%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 21 18%
Student > Ph. D. Student 18 16%
Researcher 15 13%
Student > Master 15 13%
Professor > Associate Professor 7 6%
Other 17 15%
Unknown 22 19%
Readers by discipline Count As %
Psychology 21 18%
Social Sciences 20 17%
Medicine and Dentistry 19 17%
Nursing and Health Professions 6 5%
Neuroscience 2 2%
Other 12 10%
Unknown 35 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 February 2021.
All research outputs
#2,858,490
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#548
of 2,534 outputs
Outputs of similar age
#24,598
of 199,288 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#7
of 35 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 78% 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 199,288 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.