↓ Skip to main content

Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings

Overview of attention for article published in Journal of Neurodevelopmental Disorders, July 2012
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#27 of 320)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
3 tweeters
patent
1 patent
googleplus
2 Google+ users

Citations

dimensions_citation
176 Dimensions

Readers on

mendeley
439 Mendeley
citeulike
1 CiteULike
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
Reward circuitry dysfunction in psychiatric and neurodevelopmental disorders and genetic syndromes: animal models and clinical findings
Published in
Journal of Neurodevelopmental Disorders, July 2012
DOI 10.1186/1866-1955-4-19
Pubmed ID
Authors

Gabriel S Dichter, Cara A Damiano, John A Allen

Abstract

This review summarizes evidence of dysregulated reward circuitry function in a range of neurodevelopmental and psychiatric disorders and genetic syndromes. First, the contribution of identifying a core mechanistic process across disparate disorders to disease classification is discussed, followed by a review of the neurobiology of reward circuitry. We next consider preclinical animal models and clinical evidence of reward-pathway dysfunction in a range of disorders, including psychiatric disorders (i.e., substance-use disorders, affective disorders, eating disorders, and obsessive compulsive disorders), neurodevelopmental disorders (i.e., schizophrenia, attention-deficit/hyperactivity disorder, autism spectrum disorders, Tourette's syndrome, conduct disorder/oppositional defiant disorder), and genetic syndromes (i.e., Fragile X syndrome, Prader-Willi syndrome, Williams syndrome, Angelman syndrome, and Rett syndrome). We also provide brief overviews of effective psychopharmacologic agents that have an effect on the dopamine system in these disorders. This review concludes with methodological considerations for future research designed to more clearly probe reward-circuitry dysfunction, with the ultimate goal of improved intervention strategies.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters 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 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 5 1%
United States 4 <1%
Switzerland 2 <1%
Japan 2 <1%
Canada 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
Israel 1 <1%
Sweden 1 <1%
Other 6 1%
Unknown 412 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 107 24%
Student > Master 70 16%
Researcher 68 15%
Student > Bachelor 54 12%
Student > Doctoral Student 28 6%
Other 86 20%
Unknown 26 6%
Readers by discipline Count As %
Psychology 125 28%
Agricultural and Biological Sciences 79 18%
Medicine and Dentistry 72 16%
Neuroscience 66 15%
Biochemistry, Genetics and Molecular Biology 15 3%
Other 38 9%
Unknown 44 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 26 November 2013.
All research outputs
#683,444
of 14,738,229 outputs
Outputs from Journal of Neurodevelopmental Disorders
#27
of 320 outputs
Outputs of similar age
#4,867
of 123,830 outputs
Outputs of similar age from Journal of Neurodevelopmental Disorders
#1
of 1 outputs
Altmetric has tracked 14,738,229 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 320 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. 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 123,830 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 96% 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