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Mendeley readers
Attention Score in Context
Title |
Computerized clinical decision support systems for drug prescribing and management: A decision-maker-researcher partnership systematic review
|
---|---|
Published in |
Implementation Science, August 2011
|
DOI | 10.1186/1748-5908-6-89 |
Pubmed ID | |
Authors |
Brian J Hemens, Anne Holbrook, Marita Tonkin, Jean A Mackay, Lorraine Weise-Kelly, Tamara Navarro, Nancy L Wilczynski, R Brian Haynes, the CCDSS Systematic Review Team |
Abstract |
Computerized clinical decision support systems (CCDSSs) for drug therapy management are designed to promote safe and effective medication use. Evidence documenting the effectiveness of CCDSSs for improving drug therapy is necessary for informed adoption decisions. The objective of this review was to systematically review randomized controlled trials assessing the effects of CCDSSs for drug therapy management on process of care and patient outcomes. We also sought to identify system and study characteristics that predicted benefit. |
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 % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 3 | 1% |
United States | 3 | 1% |
Brazil | 2 | <1% |
Norway | 2 | <1% |
United Kingdom | 2 | <1% |
Ireland | 1 | <1% |
Australia | 1 | <1% |
Nepal | 1 | <1% |
Netherlands | 1 | <1% |
Other | 2 | <1% |
Unknown | 204 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 42 | 19% |
Student > Ph. D. Student | 36 | 16% |
Researcher | 30 | 14% |
Professor | 16 | 7% |
Other | 15 | 7% |
Other | 53 | 24% |
Unknown | 30 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 92 | 41% |
Computer Science | 33 | 15% |
Nursing and Health Professions | 12 | 5% |
Social Sciences | 12 | 5% |
Engineering | 6 | 3% |
Other | 26 | 12% |
Unknown | 41 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 October 2011.
All research outputs
#13,355,173
of 22,653,392 outputs
Outputs from Implementation Science
#1,408
of 1,715 outputs
Outputs of similar age
#77,391
of 119,650 outputs
Outputs of similar age from Implementation Science
#13
of 28 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,715 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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 119,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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 50% of its contemporaries.