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Patterns of drinking in Aboriginal and Torres Strait Islander peoples as self-reported on the Grog Survey App: a stratified sample

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
14 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Patterns of drinking in Aboriginal and Torres Strait Islander peoples as self-reported on the Grog Survey App: a stratified sample
Published in
BMC Medical Informatics and Decision Making, September 2019
DOI 10.1186/s12911-019-0879-8
Pubmed ID
Authors

KS Kylie Lee, James H. Conigrave, Scott Wilson, Jimmy Perry, Noel Hayman, Catherine Zheng, Mustafa Al Ansari, Michael Doyle, Robin Room, Sarah Callinan, Tanya Chikritzhs, Tim Slade, Katherine M. Conigrave

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 16%
Student > Master 5 13%
Researcher 4 11%
Student > Ph. D. Student 2 5%
Other 2 5%
Other 2 5%
Unknown 17 45%
Readers by discipline Count As %
Medicine and Dentistry 4 11%
Psychology 3 8%
Nursing and Health Professions 3 8%
Business, Management and Accounting 2 5%
Computer Science 1 3%
Other 5 13%
Unknown 20 53%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 30 September 2019.
All research outputs
#2,387,252
of 19,342,442 outputs
Outputs from BMC Medical Informatics and Decision Making
#202
of 1,723 outputs
Outputs of similar age
#51,476
of 277,286 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 5 outputs
Altmetric has tracked 19,342,442 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,723 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 88% 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 277,286 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them