| Title |
Disparity in depression treatment among racial and ethnic minority populations in the United States.
|
|---|---|
| Published in |
Psychiatric Services, November 2008
|
| DOI | 10.1176/appi.ps.59.11.1264 |
| Pubmed ID | |
| Authors |
Margarita Alegría, Pinka Chatterji, Kenneth Wells, Zhun Cao, Chih-nan Chen, David Takeuchi, James Jackson, Xiao-Li Meng |
| Abstract |
Prior research on racial and ethnic disparities in depression treatment has been limited by the scarcity of national samples that include an array of diagnostic and quality indicators and substantial numbers of non-English-speaking individuals from minority groups. Using nationally representative data for 8,762 persons, the authors evaluated differences in access to and quality of depression treatments between patients in racial-ethnic minority groups and non-Latino white patients. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 75% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Unknown | 165 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 16% |
| Researcher | 26 | 15% |
| Student > Doctoral Student | 20 | 12% |
| Student > Master | 18 | 11% |
| Student > Bachelor | 15 | 9% |
| Other | 32 | 19% |
| Unknown | 31 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 51 | 30% |
| Social Sciences | 27 | 16% |
| Medicine and Dentistry | 26 | 15% |
| Nursing and Health Professions | 9 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 14 | 8% |
| Unknown | 38 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 256. 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 12 April 2020.
All research outputs
#143,048
of 25,377,790 outputs
Outputs from Psychiatric Services
#48
of 4,572 outputs
Outputs of similar age
#274
of 105,269 outputs
Outputs of similar age from Psychiatric Services
#1
of 30 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,572 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 98% 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 105,269 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 99% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.