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Disparities in Healthcare Utilisation Rates for Aboriginal and Non-Aboriginal Albertan Residents, 1997–2006: A Population Database Study

Overview of attention for article published in PLOS ONE, November 2012
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Title
Disparities in Healthcare Utilisation Rates for Aboriginal and Non-Aboriginal Albertan Residents, 1997–2006: A Population Database Study
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048355
Pubmed ID
Authors

Helen Chung, Ming Ye, Chris Hanson, Oluwaseun Oladokun, Michael J. Campbell, Gordon Kramer, Ordan J. Lehmann

Abstract

It is widely recognised that significant discrepancies exist between the health of indigenous and non-indigenous populations. Whilst the reasons are incompletely defined, one potential cause is that indigenous communities do not access healthcare to the same extent. We investigated healthcare utilisation rates in the Canadian Aboriginal population to elucidate the contribution of this fundamental social determinant for health to such disparities.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 22%
Student > Bachelor 12 22%
Student > Ph. D. Student 6 11%
Other 4 7%
Researcher 3 5%
Other 9 16%
Unknown 9 16%
Readers by discipline Count As %
Medicine and Dentistry 17 31%
Social Sciences 11 20%
Nursing and Health Professions 5 9%
Agricultural and Biological Sciences 3 5%
Computer Science 2 4%
Other 8 15%
Unknown 9 16%
Attention Score in Context

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 07 December 2012.
All research outputs
#17,670,751
of 22,685,926 outputs
Outputs from PLOS ONE
#146,339
of 193,650 outputs
Outputs of similar age
#131,288
of 179,649 outputs
Outputs of similar age from PLOS ONE
#3,268
of 4,751 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,650 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 20th percentile – i.e., 20% 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 179,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,751 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.