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Quality of life before and after cosmetic surgery

Overview of attention for article published in CNS spectrums, September 2013
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Title
Quality of life before and after cosmetic surgery
Published in
CNS spectrums, September 2013
DOI 10.1017/s1092852913000606
Pubmed ID
Authors

Jean-Charles Bensoussan, Michael A. Bolton, Sarah Pi, Allycin L. Powell-Hicks, Anna Postolova, Bahram Razani, Kevin Reyes, Waguih William IsHak

Abstract

This article reviews the literature regarding the impact of cosmetic surgery on health-related quality of life (QOL). Studies were identified through PubMed/Medline and PsycINFO searches from January 1960 to December 2011. Twenty-eight studies were included in this review, according to specific selection criteria. The procedures and tools employed in cosmetic surgery research studies were remarkably diverse, thus yielding difficulties with data analysis. However, data indicate that individuals undergoing cosmetic surgery began with lower values on aspects of QOL than control subjects, and experienced significant QOL improvement post-procedurally, an effect that appeared to plateau with time. Despite the complexity of measuring QOL in cosmetic surgery patients, most studies showed an improvement in QOL after cosmetic surgery procedures. However, this finding was clouded by measurement precision as well as heterogeneity of procedures and study populations. Future research needs to focus on refining measurement techniques, including developing cosmetic surgery-specific QOL measures.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Unknown 73 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 16%
Researcher 10 13%
Student > Postgraduate 8 11%
Student > Doctoral Student 5 7%
Student > Bachelor 4 5%
Other 13 17%
Unknown 24 32%
Readers by discipline Count As %
Medicine and Dentistry 31 41%
Psychology 7 9%
Agricultural and Biological Sciences 3 4%
Nursing and Health Professions 3 4%
Social Sciences 2 3%
Other 2 3%
Unknown 28 37%
Attention Score in Context

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 26 December 2013.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from CNS spectrums
#743
of 979 outputs
Outputs of similar age
#165,093
of 218,630 outputs
Outputs of similar age from CNS spectrums
#8
of 12 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 979 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 17th percentile – i.e., 17% 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 218,630 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.