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A multivariate approach to understanding the genetic overlap between externalizing phenotypes and substance use disorders

Overview of attention for article published in Addiction Biology, August 2023
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
1 Mendeley
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Title
A multivariate approach to understanding the genetic overlap between externalizing phenotypes and substance use disorders
Published in
Addiction Biology, August 2023
DOI 10.1111/adb.13319
Pubmed ID
Authors

Holly E. Poore, Alexander Hatoum, Travis T. Mallard, Sandra Sanchez‐Roige, Irwin D. Waldman, Abraham A. Palmer, K. Paige Harden, Peter B. Barr, Danielle M. Dick

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 100%
Readers by discipline Count As %
Social Sciences 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2023.
All research outputs
#4,000,232
of 25,035,235 outputs
Outputs from Addiction Biology
#268
of 1,168 outputs
Outputs of similar age
#59,949
of 341,888 outputs
Outputs of similar age from Addiction Biology
#1
of 14 outputs
Altmetric has tracked 25,035,235 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 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 well, scoring higher than 77% 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 341,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 14 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 99% of its contemporaries.