| Title |
Applications of machine learning in addiction studies: A systematic review
|
|---|---|
| Published in |
Psychiatry Research, March 2019
|
| DOI | 10.1016/j.psychres.2019.03.001 |
| Pubmed ID | |
| Authors |
Kwok Kei Mak, Kounseok Lee, Cheolyong Park |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 203 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 17% |
| Researcher | 24 | 12% |
| Student > Master | 21 | 10% |
| Student > Bachelor | 20 | 10% |
| Professor | 10 | 5% |
| Other | 36 | 18% |
| Unknown | 58 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 33 | 16% |
| Computer Science | 31 | 15% |
| Engineering | 13 | 6% |
| Neuroscience | 13 | 6% |
| Medicine and Dentistry | 12 | 6% |
| Other | 30 | 15% |
| Unknown | 71 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 December 2023.
All research outputs
#4,762,265
of 25,385,509 outputs
Outputs from Psychiatry Research
#1,571
of 7,588 outputs
Outputs of similar age
#96,085
of 367,575 outputs
Outputs of similar age from Psychiatry Research
#33
of 129 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,588 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 79% 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 367,575 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 73% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.