You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Title |
Randomized clinical trials to identify optimal antibiotic treatment duration
|
---|---|
Published in |
Trials, March 2013
|
DOI | 10.1186/1745-6215-14-88 |
Pubmed ID | |
Authors |
C Robert Horsburgh, Kimberly M Shea, Patrick Phillips, Michael LaValley |
Abstract |
Antibiotic resistance is a major barrier to the continued success of antibiotic treatment. Such resistance is often generated by overly long durations of antibiotic treatment. A barrier to identifying the shortest effective treatment duration is the cost of the sequence of clinical trials needed to determine shortest optimal duration. We propose a new method to identify the optimal treatment duration of an antibiotic treatment regimen. |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
Saudi Arabia | 2 | 33% |
Netherlands | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 3% |
Unknown | 39 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 18% |
Student > Master | 7 | 18% |
Student > Ph. D. Student | 6 | 15% |
Other | 4 | 10% |
Professor | 3 | 8% |
Other | 6 | 15% |
Unknown | 7 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 38% |
Pharmacology, Toxicology and Pharmaceutical Science | 6 | 15% |
Mathematics | 2 | 5% |
Agricultural and Biological Sciences | 2 | 5% |
Immunology and Microbiology | 2 | 5% |
Other | 5 | 13% |
Unknown | 8 | 20% |