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Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial

Overview of attention for article published in BMC Psychiatry, September 2014
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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 (78th percentile)

Mentioned by

twitter
9 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
281 Mendeley
citeulike
1 CiteULike
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Title
Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial
Published in
BMC Psychiatry, September 2014
DOI 10.1186/s12888-014-0272-1
Pubmed ID
Authors

Janine Clarke, Judith Proudfoot, Mary-Rose Birch, Alexis E Whitton, Gordon Parker, Vijaya Manicavasagar, Virginia Harrison, Helen Christensen, Dusan Hadzi-Pavlovic

Abstract

Online psychotherapy is clinically effective yet why, how, and for whom the effects are greatest remain largely unknown. In the present study, we examined whether mental health self-efficacy (MHSE), a construct derived from Bandura's Social Learning Theory (SLT), influenced symptom and functional outcomes of a new mobile phone and web-based psychotherapy intervention for people with mild-to-moderate depression, anxiety and stress.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Indonesia 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Unknown 275 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 60 21%
Researcher 49 17%
Student > Ph. D. Student 45 16%
Student > Bachelor 28 10%
Student > Doctoral Student 16 6%
Other 58 21%
Unknown 25 9%
Readers by discipline Count As %
Psychology 92 33%
Medicine and Dentistry 47 17%
Social Sciences 38 14%
Computer Science 20 7%
Nursing and Health Professions 13 5%
Other 33 12%
Unknown 38 14%

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 03 April 2015.
All research outputs
#3,081,509
of 12,834,770 outputs
Outputs from BMC Psychiatry
#1,188
of 2,972 outputs
Outputs of similar age
#45,346
of 210,980 outputs
Outputs of similar age from BMC Psychiatry
#1
of 3 outputs
Altmetric has tracked 12,834,770 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 2,972 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has gotten more attention than average, scoring higher than 59% 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 210,980 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 78% of its contemporaries.
We're also able to compare this research output to 3 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