↓ Skip to main content

A multilevel analysis on the relationship between neighbourhood poverty and public hospital utilization: is the high Indigenous morbidity avoidable?

Overview of attention for article published in BMC Public Health, September 2011
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A multilevel analysis on the relationship between neighbourhood poverty and public hospital utilization: is the high Indigenous morbidity avoidable?
Published in
BMC Public Health, September 2011
DOI 10.1186/1471-2458-11-737
Pubmed ID
Authors

Yuejen Zhao, Jiqiong You, Steven L Guthridge, Andy H Lee

Abstract

The estimated life expectancy at birth for Indigenous Australians is 10-11 years less than the general Australian population. The mean family income for Indigenous people is also significantly lower than for non-Indigenous people. In this paper we examine poverty or socioeconomic disadvantage as an explanation for the Indigenous health gap in hospital morbidity in Australia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 2%
India 1 2%
Australia 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 14%
Student > Master 5 12%
Researcher 4 10%
Student > Ph. D. Student 4 10%
Lecturer 3 7%
Other 8 19%
Unknown 12 29%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Social Sciences 7 17%
Nursing and Health Professions 2 5%
Agricultural and Biological Sciences 2 5%
Environmental Science 2 5%
Other 5 12%
Unknown 12 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 January 2016.
All research outputs
#5,844,465
of 22,653,392 outputs
Outputs from BMC Public Health
#5,977
of 14,735 outputs
Outputs of similar age
#34,440
of 131,618 outputs
Outputs of similar age from BMC Public Health
#67
of 199 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 14,735 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 gotten more attention than average, scoring higher than 58% 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 131,618 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 199 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 64% of its contemporaries.