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Development of a Body Image Concern Scale using both exploratory and confirmatory factor analyses in Chinese university students

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2017
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
8 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
21 Mendeley
Title
Development of a Body Image Concern Scale using both exploratory and confirmatory factor analyses in Chinese university students
Published in
Neuropsychiatric Disease and Treatment, May 2017
DOI 10.2147/ndt.s138762
Pubmed ID
Authors

Wenxin He, Qiming Zheng, Yutian Ji, Chanchan Shen, Qisha Zhu, Wei Wang

Abstract

The body dysmorphic disorder is prevalent in general population and in psychiatric, dermatological, and plastic-surgery patients, but there lacks a structure-validated, comprehensive self-report measure of body image concerns, which is established through both exploratory and confirmatory factor analyses. We have composed a 34-item matrix targeting the body image concerns and trialed it in 328 male and 365 female Chinese university students. Answers to the matrix dealt with treatments including exploratory factor analyses, reserve of qualified items, and confirmatory factor analyses of latent structures. Six latent factors, namely the Social Avoidance, Appearance Dissatisfaction, Preoccupation with Reassurance, Perceived Distress/Discrimination, Defect Hiding, and Embarrassment in Public, were identified. The factors and their respective items have composed a 24-item questionnaire named as the Body Image Concern Scale. Each factor earned a satisfactory internal reliability, and the intercorrelations between these factors were in a median level. Women scored significantly higher than men did on the Appearance Dissatisfaction, Preoccupation with Reassurance, and Defect Hiding. The Body Image Concern Scale has displayed its structure validation and gender preponderance in Chinese university students.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 5 24%
Lecturer > Senior Lecturer 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Professor 2 10%
Other 4 19%
Unknown 4 19%
Readers by discipline Count As %
Psychology 9 43%
Social Sciences 2 10%
Nursing and Health Professions 2 10%
Environmental Science 1 5%
Business, Management and Accounting 1 5%
Other 1 5%
Unknown 5 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 23 December 2020.
All research outputs
#3,447,146
of 19,818,001 outputs
Outputs from Neuropsychiatric Disease and Treatment
#475
of 2,794 outputs
Outputs of similar age
#64,043
of 284,935 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#13
of 82 outputs
Altmetric has tracked 19,818,001 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,794 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 83% 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 284,935 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 77% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.