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Working‐memory and substance use

Overview of attention for article published in Addiction Biology, November 2013
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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25 X users
facebook
15 Facebook pages
reddit
3 Redditors

Citations

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52 Dimensions

Readers on

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181 Mendeley
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Title
Working‐memory and substance use
Published in
Addiction Biology, November 2013
DOI 10.1111/adb.12111
Pubmed ID
Authors

Janna Cousijn, Wilhelmina A. M. Vingerhoets, Laura Koenders, Lieuwe de Haan, Wim van den Brink, Reinout W. Wiers, Anna E. Goudriaan

Abstract

Deficient executive functions play an important role in the development of addiction. Working-memory may therefore be a powerful predictor of the course of drug use, but chronic substance use may also impair working-memory. The aim of this 3-year longitudinal neuro-imaging study was to investigate the relationship between substance use (e.g. alcohol, cannabis, nicotine, illegal psychotropic drugs) and working-memory network function over time in heavy cannabis users and controls. Forty-nine participants performed an n-back working-memory task at baseline and at 3-year follow-up. At follow-up, there were 22 current heavy cannabis users, 4 abstinent heavy cannabis users and 23 non-cannabis-using controls. Tensor-independent component analysis (Tensor-ICA) was used to investigate individual differences in working-memory network functionality over time. Within the group of cannabis users, cannabis-related problems remained stable, whereas alcohol-related problems, nicotine dependence and illegal psychotropic substance use increased over time. At both measurements, behavioral performance and network functionality during the n-back task did not differ between heavy cannabis users and controls. Although n-back accuracy improved, working-memory network function remained stable over time. Within the group of cannabis users, working-memory network functionality was not associated with substance use. These results suggest that sustained moderate to heavy levels of cannabis, nicotine, alcohol and illegal psychotropic substance use do not change working-memory network functionality. Moreover, baseline network functionality did not predict cannabis use and related problems three years later, warranting longitudinal studies in more chronic or dependent cannabis users.

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Iran, Islamic Republic of 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
Unknown 175 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 15%
Student > Master 26 14%
Student > Bachelor 21 12%
Researcher 20 11%
Student > Doctoral Student 17 9%
Other 39 22%
Unknown 31 17%
Readers by discipline Count As %
Psychology 60 33%
Medicine and Dentistry 21 12%
Neuroscience 20 11%
Agricultural and Biological Sciences 7 4%
Social Sciences 7 4%
Other 21 12%
Unknown 45 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 12 March 2019.
All research outputs
#1,415,722
of 24,835,287 outputs
Outputs from Addiction Biology
#90
of 1,160 outputs
Outputs of similar age
#15,637
of 316,808 outputs
Outputs of similar age from Addiction Biology
#2
of 16 outputs
Altmetric has tracked 24,835,287 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has done particularly well, scoring higher than 92% 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 316,808 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 95% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.