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Psychiatric manifestations of treatable hereditary metabolic disorders in adults

Overview of attention for article published in Annals of General Psychiatry, September 2014
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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 (90th percentile)

Mentioned by

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1 news outlet
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2 X users
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2 Facebook pages
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3 Wikipedia pages

Citations

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58 Dimensions

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113 Mendeley
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Title
Psychiatric manifestations of treatable hereditary metabolic disorders in adults
Published in
Annals of General Psychiatry, September 2014
DOI 10.1186/s12991-014-0027-x
Pubmed ID
Authors

Caroline Demily, Frédéric Sedel

Abstract

Detecting psychiatric disorders of secondary origin is a crucial concern for the psychiatrist. But how can this reliably be done among a large number of conditions, most of which have a very low prevalence? Metabolic screening undertaken in a population of subjects with psychosis demonstrated the presence of treatable metabolic disorders in a significant number of cases. The nature of the symptoms that should alert the clinician is also a fundamental issue and is not limited to psychosis. Hereditary metabolic disorders (HMD) are a rare but important cause of psychiatric disorders in adolescents and adults, the signs of which may remain isolated for years before other more specific organic signs appear. HMDs that present purely with psychiatric symptoms are very difficult to diagnose due to low awareness of these rare diseases among psychiatrists. However, it is important to identify HMDs in order to refer patients to specialist centres for appropriate management, disease-specific treatment and possible prevention of irreversible physical and neurological complications. Genetic counselling can also be provided. This review focuses on three HMD categories: acute, treatable HMDs (urea cycle abnormalities, remethylation disorders, acute intermittent porphyria); chronic, treatable HMDs (Wilson's disease, Niemann-Pick disease type C, homocystinuria due to cystathionine beta-synthase deficiency, cerebrotendinous xanthomatosis); and chronic HMDs that are difficult to treat (lysosomal storage diseases, X-linked adrenoleukodystrophy, creatine deficiency syndrome). We also propose an algorithm for the diagnosis of HMDs in patients with psychiatric symptoms.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 <1%
Unknown 112 99%

Demographic breakdown

Readers by professional status Count As %
Other 20 18%
Student > Bachelor 15 13%
Researcher 14 12%
Student > Ph. D. Student 11 10%
Student > Master 11 10%
Other 22 19%
Unknown 20 18%
Readers by discipline Count As %
Medicine and Dentistry 50 44%
Neuroscience 13 12%
Biochemistry, Genetics and Molecular Biology 11 10%
Agricultural and Biological Sciences 4 4%
Nursing and Health Professions 3 3%
Other 5 4%
Unknown 27 24%
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 19 February 2024.
All research outputs
#2,382,414
of 25,382,360 outputs
Outputs from Annals of General Psychiatry
#74
of 559 outputs
Outputs of similar age
#25,632
of 262,522 outputs
Outputs of similar age from Annals of General Psychiatry
#2
of 4 outputs
Altmetric has tracked 25,382,360 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 559 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 87% 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 262,522 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 90% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.