| Title |
Using the AUDIT-PC to Predict Alcohol Withdrawal in Hospitalized Patients
|
|---|---|
| Published in |
Journal of General Internal Medicine, August 2013
|
| DOI | 10.1007/s11606-013-2551-9 |
| Pubmed ID | |
| Authors |
Anna Pecoraro, Edward Ewen, Terry Horton, Ruth Mooney, Paul Kolm, Patty McGraw, George Woody |
| Abstract |
Alcohol withdrawal syndrome (AWS) occurs when alcohol-dependent individuals abruptly reduce or stop drinking. Hospitalized alcohol-dependent patients are at risk. Hospitals need a validated screening tool to assess withdrawal risk, but no validated tools are currently available. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 2% |
| Unknown | 61 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 12 | 19% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 7 | 11% |
| Student > Bachelor | 6 | 10% |
| Researcher | 5 | 8% |
| Other | 12 | 19% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 34% |
| Psychology | 7 | 11% |
| Nursing and Health Professions | 6 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Computer Science | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 17 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 January 2016.
All research outputs
#6,839,484
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#3,786
of 7,806 outputs
Outputs of similar age
#56,744
of 202,514 outputs
Outputs of similar age from Journal of General Internal Medicine
#31
of 70 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. 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 202,514 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 70% of its contemporaries.
We're also able to compare this research output to 70 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 55% of its contemporaries.