| Title |
Use of an Electronic Health Record Clinical Decision Support Tool to Improve Antibiotic Prescribing for Acute Respiratory Infections: The ABX-TRIP Study
|
|---|---|
| Published in |
Journal of General Internal Medicine, November 2012
|
| DOI | 10.1007/s11606-012-2267-2 |
| Pubmed ID | |
| Authors |
Cara B. Litvin, Steven M. Ornstein, Andrea M. Wessell, Lynne S. Nemeth, Paul J. Nietert |
| Abstract |
Antibiotics are often inappropriately prescribed for acute respiratory infections (ARIs). |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Spain | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 2 | 1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 147 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 16% |
| Other | 16 | 10% |
| Student > Ph. D. Student | 16 | 10% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 15 | 10% |
| Other | 43 | 28% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 45% |
| Social Sciences | 9 | 6% |
| Nursing and Health Professions | 7 | 5% |
| Computer Science | 7 | 5% |
| Agricultural and Biological Sciences | 5 | 3% |
| Other | 29 | 19% |
| Unknown | 27 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 12 June 2023.
All research outputs
#2,481,306
of 24,972,914 outputs
Outputs from Journal of General Internal Medicine
#1,827
of 8,075 outputs
Outputs of similar age
#16,859
of 192,031 outputs
Outputs of similar age from Journal of General Internal Medicine
#16
of 59 outputs
Altmetric has tracked 24,972,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,075 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.1. This one has done well, scoring higher than 77% 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 192,031 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 59 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 74% of its contemporaries.