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Internet-based guided self-help for glioma patients with depressive symptoms: design of a randomized controlled trial

Overview of attention for article published in BMC Neurology, April 2014
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Citations

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22 Dimensions

Readers on

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204 Mendeley
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Title
Internet-based guided self-help for glioma patients with depressive symptoms: design of a randomized controlled trial
Published in
BMC Neurology, April 2014
DOI 10.1186/1471-2377-14-81
Pubmed ID
Authors

Florien W Boele, Irma M Verdonck-de Leeuw, Pim Cuijpers, Jaap C Reijneveld, Jan J Heimans, Martin Klein

Abstract

Among glioma patients, depression is estimated to be more prevalent than in both the general population and the cancer patient population. This can have negative consequences for both patients and their primary informal caregivers (e.g., a spouse, family member or close friend). At present, there is no evidence from randomized controlled trials for the effectiveness of psychological treatment for depression in glioma patients. Furthermore, the possibility of delivering mental health care through the internet has not yet been explored in this population. Therefore, a randomized controlled trial is warranted to evaluate the effects of an internet-based, guided self-help intervention for depressive symptoms in glioma patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 203 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 37 18%
Researcher 34 17%
Student > Ph. D. Student 31 15%
Student > Bachelor 21 10%
Student > Doctoral Student 12 6%
Other 25 12%
Unknown 44 22%
Readers by discipline Count As %
Psychology 67 33%
Medicine and Dentistry 39 19%
Nursing and Health Professions 20 10%
Social Sciences 6 3%
Agricultural and Biological Sciences 3 1%
Other 17 8%
Unknown 52 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2014.
All research outputs
#13,914,121
of 22,753,345 outputs
Outputs from BMC Neurology
#1,175
of 2,427 outputs
Outputs of similar age
#118,055
of 228,161 outputs
Outputs of similar age from BMC Neurology
#33
of 74 outputs
Altmetric has tracked 22,753,345 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,427 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 228,161 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 74 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 51% of its contemporaries.