↓ Skip to main content

Mice mutant for genes associated with schizophrenia: Common phenotype or distinct endophenotypes?

Overview of attention for article published in Behavioural Brain Research, December 2009
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Mice mutant for genes associated with schizophrenia: Common phenotype or distinct endophenotypes?
Published in
Behavioural Brain Research, December 2009
DOI 10.1016/j.bbr.2009.04.001
Pubmed ID
Authors

Lieve Desbonnet, John L. Waddington, Colm M.P. O’Tuathaigh

Abstract

Schizophrenia is a complex neuropsychiatric disorder whose etiology involves a mixture of genetic and environmental factors. By virtue of this complexity, schizophrenia is a field of research in which a number of key technologies converge: in particular, identification of putative susceptibility genes through association studies in clinical populations leads to investigation of the behavioural roles of these genes by targeted manipulation in mice and their phenotypic characterisation ('gene-driven' approach); in a complementary manner, identification of putative pathophysiological processes and therapeutic pathways leads to investigation of behavioural phenotype in mice mutant for genes regulating such processes and pathways ('phenotype-driven' approach). As several susceptibility genes for schizophrenia and numerous genes implicated in the pathophysiology of schizophrenia have now been genetically manipulated in mice, it is timely to consider the roles of these genes in abnormal brain development and the ontogeny of putative schizophrenia-like phenotypes. The aim of this review is to outline existing knowledge from mutant studies concerning the contribution of these genes to the development of a common schizophrenia phenotype vis-à-vis discrete schizophrenia endophenotypes. Emphasis is also placed on the importance of studying gene x environment and gene x gene interactions, as well as addressing methodological issues related to genetic modelling and phenotyping strategies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 1 2%
Australia 1 2%
Unknown 59 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 24%
Student > Ph. D. Student 15 24%
Student > Bachelor 7 11%
Professor 5 8%
Professor > Associate Professor 4 6%
Other 11 17%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 30%
Medicine and Dentistry 13 21%
Psychology 10 16%
Neuroscience 10 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 3 5%
Unknown 6 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 August 2013.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Behavioural Brain Research
#1,741
of 4,976 outputs
Outputs of similar age
#51,423
of 176,944 outputs
Outputs of similar age from Behavioural Brain Research
#20
of 39 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,976 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 50% 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 176,944 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.