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Combining Trait Models of Impulsivity to Improve Explanation of Substance Use Behaviour

Overview of attention for article published in European Journal of Personality, January 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Combining Trait Models of Impulsivity to Improve Explanation of Substance Use Behaviour
Published in
European Journal of Personality, January 2017
DOI 10.1002/per.2091
Authors

Kaidy Stautz, Linda Dinc, Andrew J. Cooper

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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Student > Bachelor 8 20%
Student > Doctoral Student 7 17%
Unspecified 6 15%
Student > Postgraduate 4 10%
Other 7 17%
Readers by discipline Count As %
Psychology 28 68%
Unspecified 7 17%
Social Sciences 2 5%
Neuroscience 2 5%
Nursing and Health Professions 1 2%
Other 1 2%

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 25 May 2017.
All research outputs
#6,527,187
of 12,180,682 outputs
Outputs from European Journal of Personality
#221
of 333 outputs
Outputs of similar age
#137,084
of 327,819 outputs
Outputs of similar age from European Journal of Personality
#6
of 11 outputs
Altmetric has tracked 12,180,682 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 333 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 33rd percentile – i.e., 33% 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 327,819 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.