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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

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1 news outlet
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4 X users

Readers on

mendeley
112 Mendeley
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Article details
Title
Characteristics and Stability of Empirically Derived Anorexia Nervosa Subtypes: Towards the Identification of Homogeneous Low-Weight Eating Disorder Phenotypes
Published in
Journal of Abnormal Psychology, November 2013
DOI 10.1037/a0034676
Pubmed ID
Authors
Abstract

Anorexia nervosa (AN) is characterized by within-group heterogeneity in symptom presentation, which poses problems for research on etiology and treatment. This study sought to identify homogeneous subtypes of AN, and examine their short-term stability, using empirical methods. A treatment-seeking sample with AN (n = 194) was assessed at baseline and 6- and 12-month follow-ups. Latent class analysis was used to identify homogeneous AN subgroups, and latent transition analysis was used to examine the stability of latent classes. Three low-weight eating disorder classes were identified: 1) fat-phobic restricting (AN-R-FP); 2) fat-phobic binge-eating/purging (AN-BP-FP); and 3) non-fat-phobic restricting (AN-R-NFP). Subtype membership was stable over follow-up, with .68 to .88 probabilities of remaining in the same class from baseline to 6 months, and .87 to 1.00 from 6 months to 12 months. The most common transition pattern was between AN-R-FP and AN-R-NFP (56.8% of transitions); the majority of these participants transitioned from AN-R-FP to AN-R-NFP (n = 20/21). Predictors of latent class membership included lifetime mood and substance use disorder comorbidities, negative temperament, illness duration, and body mass index at treatment presentation. Disinhibition (vs. constraint), history of overweight or obesity, and illness duration decreased the probability of latent transition. Findings support the presence of 3 low-weight eating disorder phenotypes that are highly stable over short-term follow-up. Identification of a stable non-fat-phobic AN phenotype is intriguing and highlights the importance of studying mechanisms that differentiate fat-phobic and non-fat-phobic eating disorders.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 20 18%
Student > Doctoral Student 12 11%
Student > Ph. D. Student 11 10%
Student > Bachelor 9 8%
Researcher 9 8%
Other 11 10%
Unknown 40 36%
Readers by discipline
Readers by discipline Count As %
Psychology 34 30%
Medicine and Dentistry 15 13%
Nursing and Health Professions 8 7%
Computer Science 3 3%
Social Sciences 3 3%
Other 3 3%
Unknown 46 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 13 May 2021.
All research outputs
#2,715,439
of 27,783,697 outputs
Outputs from Journal of Abnormal Psychology
#182
of 1,982 outputs
Outputs of similar age
#23,396
of 232,130 outputs
Outputs of similar age from Journal of Abnormal Psychology
#5
of 21 outputs
Altmetric has tracked 27,783,697 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one has done particularly well, scoring higher than 98% 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 232,130 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 89% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.