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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
  • Among the highest-scoring outputs from this source (#37 of 446)
  • High Attention Score compared to outputs of the same age (90th percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter
facebook
2 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
96 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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 1%
Unknown 95 99%

Demographic breakdown

Readers by professional status Count As %
Other 19 20%
Researcher 14 15%
Student > Bachelor 12 13%
Student > Ph. D. Student 11 11%
Student > Master 9 9%
Other 21 22%
Unknown 10 10%
Readers by discipline Count As %
Medicine and Dentistry 45 47%
Neuroscience 13 14%
Biochemistry, Genetics and Molecular Biology 11 11%
Agricultural and Biological Sciences 4 4%
Nursing and Health Professions 3 3%
Other 3 3%
Unknown 17 18%

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 01 February 2019.
All research outputs
#1,607,073
of 18,078,411 outputs
Outputs from Annals of General Psychiatry
#37
of 446 outputs
Outputs of similar age
#21,070
of 218,224 outputs
Outputs of similar age from Annals of General Psychiatry
#1
of 1 outputs
Altmetric has tracked 18,078,411 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 446 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done particularly well, scoring higher than 91% 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 218,224 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them