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The Diagnosis and Management of Lipodystrophy Syndromes: A Multi-Society Practice Guideline

Overview of attention for article published in JCEM, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
16 X users
patent
3 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages

Readers on

mendeley
319 Mendeley
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Title
The Diagnosis and Management of Lipodystrophy Syndromes: A Multi-Society Practice Guideline
Published in
JCEM, October 2016
DOI 10.1210/jc.2016-2466
Pubmed ID
Authors

Rebecca J. Brown, David Araujo-Vilar, Pik To Cheung, David Dunger, Abhimanyu Garg, Michelle Jack, Lucy Mungai, Elif A. Oral, Nivedita Patni, Kristina I. Rother, Julia von Schnurbein, Ekaterina Sorkina, Takara Stanley, Corinne Vigouroux, Martin Wabitsch, Rachel Williams, Tohru Yorifuji

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 319 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 <1%
Unknown 318 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 15%
Other 34 11%
Student > Master 31 10%
Student > Postgraduate 19 6%
Student > Bachelor 19 6%
Other 56 18%
Unknown 113 35%
Readers by discipline Count As %
Medicine and Dentistry 130 41%
Biochemistry, Genetics and Molecular Biology 26 8%
Agricultural and Biological Sciences 7 2%
Nursing and Health Professions 7 2%
Pharmacology, Toxicology and Pharmaceutical Science 5 2%
Other 20 6%
Unknown 124 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 28 August 2023.
All research outputs
#1,227,544
of 25,870,940 outputs
Outputs from JCEM
#926
of 15,583 outputs
Outputs of similar age
#21,937
of 328,768 outputs
Outputs of similar age from JCEM
#21
of 138 outputs
Altmetric has tracked 25,870,940 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,583 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 94% 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 328,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.