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Depressive symptoms in people with chronic physical conditions: prevalence and risk factors in a Hong Kong community sample

Overview of attention for article published in BMC Psychiatry, November 2012
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1 tweeter

Citations

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123 Mendeley
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Title
Depressive symptoms in people with chronic physical conditions: prevalence and risk factors in a Hong Kong community sample
Published in
BMC Psychiatry, November 2012
DOI 10.1186/1471-244x-12-198
Pubmed ID
Authors

Hairong Nan, Paul H Lee, Ian McDowell, Michael Y Ni, Sunita M Stewart, Tai Hing Lam

Abstract

Depression is predicted to become one of the two most burdensome diseases worldwide by 2020 and is common in people with chronic physical conditions. However, depression is relatively uncommon in Asia. Family support is an important Asian cultural value that we hypothesized could protect people with chronic physical conditions from developing depression. We investigated depressive symptom prevalence and risk factors in a Chinese sample with chronic medical conditions, focusing on the possible protective role of family relationships.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Brazil 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 17%
Researcher 20 16%
Student > Doctoral Student 16 13%
Student > Ph. D. Student 16 13%
Student > Bachelor 10 8%
Other 23 19%
Unknown 17 14%
Readers by discipline Count As %
Medicine and Dentistry 36 29%
Psychology 25 20%
Social Sciences 11 9%
Nursing and Health Professions 9 7%
Sports and Recreations 3 2%
Other 10 8%
Unknown 29 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 November 2012.
All research outputs
#9,934,440
of 12,409,853 outputs
Outputs from BMC Psychiatry
#2,402
of 2,890 outputs
Outputs of similar age
#96,702
of 137,491 outputs
Outputs of similar age from BMC Psychiatry
#197
of 225 outputs
Altmetric has tracked 12,409,853 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,890 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 7th percentile – i.e., 7% 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 137,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 225 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.