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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Deep Learning Algorithm to Predict Hazardous Drinkers and the Severity of Alcohol-Related Problems Using K-NHANES
|
|---|---|
| Published in |
Frontiers in Psychiatry, July 2021
|
| DOI | 10.3389/fpsyt.2021.684406 |
| Pubmed ID | |
| Authors |
Suk-Young Kim, Taesung Park, Kwonyoung Kim, Jihoon Oh, Yoonjae Park, Dai-Jin Kim |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 26% |
| Lecturer | 2 | 11% |
| Other | 1 | 5% |
| Professor | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 7 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 16% |
| Medicine and Dentistry | 2 | 11% |
| Engineering | 2 | 11% |
| Decision Sciences | 1 | 5% |
| Mathematics | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 26 January 2023.
All research outputs
#6,980,593
of 25,235,400 outputs
Outputs from Frontiers in Psychiatry
#3,274
of 12,432 outputs
Outputs of similar age
#134,806
of 432,404 outputs
Outputs of similar age from Frontiers in Psychiatry
#171
of 699 outputs
Altmetric has tracked 25,235,400 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 12,432 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 gotten more attention than average, scoring higher than 73% 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 432,404 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 68% of its contemporaries.
We're also able to compare this research output to 699 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.