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The Application of Machine Learning Techniques as an Adjunct to Clinical Decision Making in Alcohol Dependence Treatment

Overview of attention for article published in Substance Use & Misuse, July 2009
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Mentioned by

patent
1 patent

Readers on

mendeley
127 Mendeley
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Article details
Title
The Application of Machine Learning Techniques as an Adjunct to Clinical Decision Making in Alcohol Dependence Treatment
Published in
Substance Use & Misuse, July 2009
DOI 10.1080/10826080701658125
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 2%
France 1 <1%
Switzerland 1 <1%
Australia 1 <1%
Unknown 122 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 22 17%
Researcher 16 13%
Student > Bachelor 15 12%
Student > Master 12 9%
Student > Doctoral Student 9 7%
Other 20 16%
Unknown 33 26%
Readers by discipline
Readers by discipline Count As %
Psychology 41 32%
Medicine and Dentistry 13 10%
Computer Science 9 7%
Neuroscience 6 5%
Social Sciences 4 3%
Other 15 12%
Unknown 39 31%
Attention Score in Context

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 04 October 2016.
All research outputs
#7,566,705
of 23,079,238 outputs
Outputs from Substance Use & Misuse
#688
of 1,982 outputs
Outputs of similar age
#37,498
of 110,685 outputs
Outputs of similar age from Substance Use & Misuse
#109
of 292 outputs
Altmetric has tracked 23,079,238 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 50% 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 110,685 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 292 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.