Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medication
Published in
Journal of Substance Abuse Treatment, January 2019
This research output has an Altmetric Attention Score of 2. 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 13 February 2019.
All research outputs
#18,578,012
of 27,788,803 outputs
Outputs from Journal of Substance Abuse Treatment
#1,893
of 2,597 outputs
Outputs of similar age
#278,886
of 452,992 outputs
Outputs of similar age from Journal of Substance Abuse Treatment
#22
of 41 outputs
Altmetric has tracked 27,788,803 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 25th percentile – i.e., 25% 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 452,992 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
