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Metabolome in schizophrenia and other psychotic disorders: a general population-based study

Overview of attention for article published in Genome Medicine, March 2011
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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 (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

blogs
1 blog
patent
1 patent

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
189 Mendeley
connotea
1 Connotea
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Title
Metabolome in schizophrenia and other psychotic disorders: a general population-based study
Published in
Genome Medicine, March 2011
DOI 10.1186/gm233
Pubmed ID
Authors

Matej Orešič, Jing Tang, Tuulikki Seppänen-Laakso, Ismo Mattila, Suoma E Saarni, Samuli I Saarni, Jouko Lönnqvist, Marko Sysi-Aho, Tuulia Hyötyläinen, Jonna Perälä, Jaana Suvisaari

Abstract

Persons with schizophrenia and other psychotic disorders have a high prevalence of obesity, impaired glucose tolerance, and lipid abnormalities, particularly hypertriglyceridemia and low high-density lipoprotein. More detailed molecular information on the metabolic abnormalities may reveal clues about the pathophysiology of these changes, as well as about disease specificity.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
United Kingdom 1 <1%
France 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Unknown 182 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 43 23%
Student > Ph. D. Student 34 18%
Student > Bachelor 15 8%
Student > Master 12 6%
Student > Doctoral Student 10 5%
Other 38 20%
Unknown 37 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 19%
Medicine and Dentistry 31 16%
Biochemistry, Genetics and Molecular Biology 20 11%
Neuroscience 17 9%
Chemistry 16 8%
Other 22 12%
Unknown 48 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 16 October 2018.
All research outputs
#3,778,616
of 25,371,288 outputs
Outputs from Genome Medicine
#807
of 1,585 outputs
Outputs of similar age
#16,902
of 119,410 outputs
Outputs of similar age from Genome Medicine
#3
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 119,410 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 85% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.