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Methamphetamine-Associated Psychosis

Overview of attention for article published in Journal of NeuroImmune Pharmacology, July 2011
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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 (#28 of 446)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

1 news outlet
4 tweeters
2 Wikipedia pages


115 Dimensions

Readers on

144 Mendeley
3 CiteULike
Methamphetamine-Associated Psychosis
Published in
Journal of NeuroImmune Pharmacology, July 2011
DOI 10.1007/s11481-011-9288-1
Pubmed ID

Kathleen M. Grant, Tricia D. LeVan, Sandra M. Wells, Ming Li, Scott F. Stoltenberg, Howard E. Gendelman, Gustavo Carlo, Rick A. Bevins


Methamphetamine (METH) is a frequent drug of abuse in U.S. populations and commonly associated with psychosis. This may be a factor in frequent criminal justice referrals and lengthy treatment required by METH users. Persecutory delusions and auditory hallucinations are the most consistent symptoms of METH-associated psychosis (MAP). MAP has largely been studied in Asian populations and risk factors have varied across studies. Duration, frequency and amount of use as well as sexual abuse, family history, other substance use, and co-occurring personality and mood disorders are risk factors for MAP. MAP may be unique with its long duration of psychosis and recurrence without relapse to METH. Seven candidate genes have been identified that may be associated with MAP. Six of these genes are also associated with susceptibility, symptoms, or treatment of schizophrenia and most are linked to glutamatergic neurotransmission. Animal studies of pre-pulse inhibition, attenuation of social interaction, and stereotypy and alterations in locomotion are used to study MAP in rodents. Employing various models, rodent studies have identified neuroanatomical and neurochemical changes associated with METH use. Throughout this review, we identify key gaps in our understanding of MAP and suggest potential directions for future research.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Australia 1 <1%
Brazil 1 <1%
United States 1 <1%
Unknown 139 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 22%
Student > Ph. D. Student 29 20%
Researcher 17 12%
Unspecified 16 11%
Other 14 10%
Other 36 25%
Readers by discipline Count As %
Medicine and Dentistry 49 34%
Psychology 23 16%
Unspecified 23 16%
Neuroscience 14 10%
Agricultural and Biological Sciences 14 10%
Other 21 15%

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 18 June 2019.
All research outputs
of 13,243,449 outputs
Outputs from Journal of NeuroImmune Pharmacology
of 446 outputs
Outputs of similar age
of 121,197 outputs
Outputs of similar age from Journal of NeuroImmune Pharmacology
of 6 outputs
Altmetric has tracked 13,243,449 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd 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 6.4. This one has done particularly well, scoring higher than 93% 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 121,197 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 92% of its contemporaries.
We're also able to compare this research output to 6 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