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Development of a web-based intervention for the indicated prevention of depression

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2013
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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)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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7 X users

Citations

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60 Dimensions

Readers on

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179 Mendeley
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Title
Development of a web-based intervention for the indicated prevention of depression
Published in
BMC Medical Informatics and Decision Making, February 2013
DOI 10.1186/1472-6947-13-26
Pubmed ID
Authors

Saskia M Kelders, Wendy TM Pots, Maarten Jan Oskam, Ernst T Bohlmeijer, Julia EWC van Gemert-Pijnen

Abstract

To reduce the large public health burden of the high prevalence of depression, preventive interventions targeted at people at risk are essential and can be cost-effective. Web-based interventions are able to provide this care, but there is no agreement on how to best develop these applications and often the technology is seen as a given. This seems to be one of the main reasons that web-based interventions do not reach their full potential. The current study describes the development of a web-based intervention for the indicated prevention of depression, employing the CeHRes (Center for eHealth Research and Disease Management) roadmap. The goals are to create a user-friendly application which fits the values of the stakeholders and to evaluate the process of development.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 179 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Netherlands 1 <1%
Norway 1 <1%
Ireland 1 <1%
Australia 1 <1%
Brazil 1 <1%
Sweden 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Other 1 <1%
Unknown 169 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 26%
Student > Master 37 21%
Researcher 24 13%
Student > Bachelor 13 7%
Student > Doctoral Student 11 6%
Other 30 17%
Unknown 17 9%
Readers by discipline Count As %
Psychology 64 36%
Computer Science 24 13%
Medicine and Dentistry 20 11%
Nursing and Health Professions 13 7%
Social Sciences 12 7%
Other 26 15%
Unknown 20 11%
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 01 July 2017.
All research outputs
#5,495,118
of 22,696,971 outputs
Outputs from BMC Medical Informatics and Decision Making
#472
of 1,980 outputs
Outputs of similar age
#44,981
of 192,959 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#17
of 42 outputs
Altmetric has tracked 22,696,971 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 1,980 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 76% 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 192,959 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 42 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 59% of its contemporaries.