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The effectiveness of a suicide prevention app for indigenous Australian youths: study protocol for a randomized controlled trial

Overview of attention for article published in Trials, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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6 X users
facebook
1 Facebook page

Citations

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63 Dimensions

Readers on

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574 Mendeley
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Title
The effectiveness of a suicide prevention app for indigenous Australian youths: study protocol for a randomized controlled trial
Published in
Trials, January 2013
DOI 10.1186/1745-6215-14-396
Pubmed ID
Authors

Fiona L Shand, Rebecca Ridani, Joe Tighe, Helen Christensen

Abstract

Indigenous Australian youth (aged 15 to 34) have up to four times the risk of suicide compared with their non-Indigenous counterparts. Barriers to help-seeking include shame, feared loss of autonomy and negative attitudes towards healthcare providers. The use of mobile devices and apps continues to rise amongst young people, thus presenting opportunities to utilize these aids in overcoming help-seeking barriers. Apps have been shown to assist in several health-related areas, including weight loss and smoking cessation, although no apps have as yet been evaluated for suicide prevention. Moreover, there is a lack of research that scientifically evaluates suicide prevention interventions within Indigenous communities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 574 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Unknown 569 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 89 16%
Student > Ph. D. Student 81 14%
Student > Bachelor 68 12%
Researcher 54 9%
Student > Doctoral Student 42 7%
Other 95 17%
Unknown 145 25%
Readers by discipline Count As %
Psychology 179 31%
Medicine and Dentistry 93 16%
Nursing and Health Professions 39 7%
Social Sciences 32 6%
Computer Science 13 2%
Other 61 11%
Unknown 157 27%
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 16 January 2020.
All research outputs
#7,482,286
of 25,988,468 outputs
Outputs from Trials
#45
of 45 outputs
Outputs of similar age
#73,381
of 292,078 outputs
Outputs of similar age from Trials
#68
of 202 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 45 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one scored the same or higher as 0 of them.
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 292,078 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 74% of its contemporaries.
We're also able to compare this research output to 202 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 66% of its contemporaries.