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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Effect of Neighborhood Disadvantage on the Racial Disparity in Ovarian Cancer-Specific Survival in a Large Hospital-Based Study in Cook County, Illinois
|
|---|---|
| Published in |
Frontiers in Public Health, January 2015
|
| DOI | 10.3389/fpubh.2015.00008 |
| Pubmed ID | |
| Authors |
Caryn E. Peterson, Garth H. Rauscher, Timothy P. Johnson, Carolyn V. Kirschner, Sally Freels, Richard E. Barrett, Seijeoung Kim, Marian L. Fitzgibbon, Charlotte E. Joslin, Faith G. Davis |
| Abstract |
This paper examines the effect of neighborhood disadvantage on racial disparities in ovarian cancer-specific survival. Despite treatment advances for ovarian cancer, survival remains shorter for African-American compared to White women. Neighborhood disadvantage is implicated in racial disparities across a variety of health outcomes and may contribute to racial disparities in ovarian cancer-specific survival. Data were obtained from 581 women (100 African-American and 481 White) diagnosed with epithelial ovarian cancer between June 1, 1994, and December 31, 1998 in Cook County, IL, USA, which includes the city of Chicago. Neighborhood disadvantage score at the time of diagnosis was calculated for each woman based on Browning and Cagney's index of concentrated disadvantage. Cox proportional hazard models measured the association of self-identified African-American race with ovarian cancer-specific survival after adjusting for age, tumor characteristics, surgical debulking, and neighborhood disadvantage. There was a statistically significant negative association (-0.645) between ovarian cancer-specific survival and neighborhood disadvantage (p = 0.008). After adjusting for age and tumor characteristics, African-American women were more likely than Whites to die of ovarian cancer (HR = 1.59, p = 0.003). After accounting for neighborhood disadvantage, this risk was attenuated (HR = 1.32, p = 0.10). These findings demonstrate that neighborhood disadvantage is associated with ovarian cancer-specific survival and may contribute to the racial disparity in survival. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 30% |
| Researcher | 5 | 19% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Student > Bachelor | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 7 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 19% |
| Social Sciences | 4 | 15% |
| Medicine and Dentistry | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Frontiers in Public Health
#5,641
of 9,792 outputs
Outputs of similar age
#255,910
of 351,834 outputs
Outputs of similar age from Frontiers in Public Health
#37
of 54 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,792 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 351,834 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.