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Predicting the outcome of a cognitive-behavioral group training for patients with unexplained physical symptoms: a one-year follow-up study

Overview of attention for article published in BMC Public Health, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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8 X users

Citations

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14 Dimensions

Readers on

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116 Mendeley
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Title
Predicting the outcome of a cognitive-behavioral group training for patients with unexplained physical symptoms: a one-year follow-up study
Published in
BMC Public Health, October 2012
DOI 10.1186/1471-2458-12-848
Pubmed ID
Authors

Lyonne NL Zonneveld, Yanda R van Rood, Cornelis G Kooiman, Reinier Timman, Adriaan van ’t Spijker, Jan JV Busschbach

Abstract

Although Cognitive-Behavioral Therapy (CBT) is effective for Unexplained Physical Symptoms (UPS), some therapists in clinical practice seem to believe that CBT outcome will diminish if psychiatric comorbidity is present. The result is that patients with a psychiatric comorbidity are redirected from treatment for UPS into treatment for mental health problems. To explore whether this selection and allocation are appropriate, we explored whether CBT outcomes in UPS could be predicted by variables assessed at baseline and used in routine-practice assessments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Netherlands 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 16%
Researcher 18 16%
Student > Ph. D. Student 18 16%
Student > Bachelor 14 12%
Professor 5 4%
Other 17 15%
Unknown 25 22%
Readers by discipline Count As %
Psychology 42 36%
Medicine and Dentistry 18 16%
Nursing and Health Professions 9 8%
Social Sciences 6 5%
Agricultural and Biological Sciences 4 3%
Other 12 10%
Unknown 25 22%
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 26 November 2012.
All research outputs
#6,112,503
of 22,681,577 outputs
Outputs from BMC Public Health
#6,332
of 14,762 outputs
Outputs of similar age
#44,470
of 172,974 outputs
Outputs of similar age from BMC Public Health
#100
of 306 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 14,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 56% 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 172,974 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 73% of its contemporaries.
We're also able to compare this research output to 306 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 65% of its contemporaries.