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Individual and district-level predictors of alcohol use: cross sectional findings from a rural mental health survey in Australia

Overview of attention for article published in BMC Public Health, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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4 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

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18 Dimensions

Readers on

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36 Mendeley
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Title
Individual and district-level predictors of alcohol use: cross sectional findings from a rural mental health survey in Australia
Published in
BMC Public Health, August 2012
DOI 10.1186/1471-2458-12-586
Pubmed ID
Authors

Kerry J Inder, Tonelle E Handley, Michael Fitzgerald, Terry J Lewin, Clare Coleman, David Perkins, Brian J Kelly

Abstract

Excessive alcohol use is a significant problem in rural and remote Australia. The factors contributing to patterns of alcohol use have not been adequately explained, yet the geographic variation in rates suggests a potential contribution of district-level factors, such as socio-economic disadvantage, rates of population change, environmental adversity, and remoteness from services/population centres. This paper aims to investigate individual-level and district-level predictors of alcohol use in a sample of rural adults.

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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 17%
Student > Ph. D. Student 5 14%
Researcher 3 8%
Student > Doctoral Student 3 8%
Student > Bachelor 3 8%
Other 6 17%
Unknown 10 28%
Readers by discipline Count As %
Medicine and Dentistry 10 28%
Psychology 3 8%
Nursing and Health Professions 2 6%
Environmental Science 2 6%
Agricultural and Biological Sciences 1 3%
Other 4 11%
Unknown 14 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 January 2022.
All research outputs
#5,550,714
of 22,851,489 outputs
Outputs from BMC Public Health
#5,482
of 14,886 outputs
Outputs of similar age
#38,574
of 164,864 outputs
Outputs of similar age from BMC Public Health
#96
of 348 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,886 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 62% 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 164,864 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 76% of its contemporaries.
We're also able to compare this research output to 348 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 72% of its contemporaries.