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Leveraging the Web and Social Media to Promote Access to Care Among Suicidal Individuals

Overview of attention for article published in Frontiers in Psychology, August 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
4 news outlets
twitter
21 X users

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Leveraging the Web and Social Media to Promote Access to Care Among Suicidal Individuals
Published in
Frontiers in Psychology, August 2018
DOI 10.3389/fpsyg.2018.01338
Pubmed ID
Authors

Charles-Edouard Notredame, Pierre Grandgenèvre, Nathalie Pauwels, Margot Morgiève, Marielle Wathelet, Guillaume Vaiva, Monique Séguin

Abstract

After two decades of exponential development, the Internet has become an inseparable component of suicide prevention matters. More specifically, social media has turned out to be a privileged space for suicidal individuals to express their distress and seek support. Although this tendency carries with it specific risks and challenges, it creates unprecedented opportunities to face the challenges of help seeking and access to care. In this paper, we present the empirical, technological, and theoretical evidence supporting the implementation of a digitally augmented prevention policy that would increase its reach. Congruent to the clinical observations and theories on the help-seeking process, we argue that social media can help undertake three main functions of increasing proactivity to bring suffering Web users to care. The gateway function relates to the properties of social media interactions to leverage help-seeking barriers and enable ambivalent individuals to access the mental healthcare system. The communication outreach function aims to broadcast pro-help-seeking messages, while drawing on the functional structure of the social media network to increase its audience. The intervention outreach function consists in using machine learning algorithms to detect social media users with the highest risk of suicidal behaviors and give them a chance to overcome their dysfunctional reluctance to access help. We propose to combine these three functions into a single coherent operational model. This would involve the joint actions of a communication and intervention team on social networks, working in close collaboration with conventional mental health professionals, emergency service, and community resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 14%
Student > Ph. D. Student 15 12%
Student > Bachelor 13 10%
Researcher 9 7%
Other 6 5%
Other 22 17%
Unknown 46 36%
Readers by discipline Count As %
Psychology 24 19%
Medicine and Dentistry 10 8%
Nursing and Health Professions 9 7%
Social Sciences 9 7%
Computer Science 8 6%
Other 14 11%
Unknown 55 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 08 April 2019.
All research outputs
#938,608
of 25,027,753 outputs
Outputs from Frontiers in Psychology
#1,967
of 33,813 outputs
Outputs of similar age
#19,917
of 336,667 outputs
Outputs of similar age from Frontiers in Psychology
#62
of 726 outputs
Altmetric has tracked 25,027,753 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,813 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 94% 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 336,667 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 726 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.