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Mendeley readers
Attention Score in Context
| Title |
Computerized clinical decision support systems for acute care management: A decision-maker-researcher partnership systematic review of effects on process of care and patient outcomes
|
|---|---|
| Published in |
Implementation Science, August 2011
|
| DOI | 10.1186/1748-5908-6-91 |
| Pubmed ID | |
| Authors |
Navdeep Sahota, Rob Lloyd, Anita Ramakrishna, Jean A Mackay, Jeanette C Prorok, Lorraine Weise-Kelly, Tamara Navarro, Nancy L Wilczynski, R Brian Haynes, the CCDSS Systematic Review Team |
| Abstract |
Acute medical care often demands timely, accurate decisions in complex situations. Computerized clinical decision support systems (CCDSSs) have many features that could help. However, as for any medical intervention, claims that CCDSSs improve care processes and patient outcomes need to be rigorously assessed. The objective of this review was to systematically review the effects of CCDSSs on process of care and patient outcomes for acute medical care. |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 2% |
| United States | 4 | 2% |
| Brazil | 2 | 1% |
| Norway | 2 | 1% |
| Vietnam | 1 | <1% |
| Argentina | 1 | <1% |
| Ireland | 1 | <1% |
| Spain | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 164 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 35 | 19% |
| Researcher | 28 | 15% |
| Student > Ph. D. Student | 22 | 12% |
| Other | 17 | 9% |
| Professor | 13 | 7% |
| Other | 44 | 24% |
| Unknown | 22 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 78 | 43% |
| Computer Science | 25 | 14% |
| Nursing and Health Professions | 13 | 7% |
| Business, Management and Accounting | 9 | 5% |
| Social Sciences | 8 | 4% |
| Other | 20 | 11% |
| Unknown | 28 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 11 October 2011.
All research outputs
#20,148,663
of 22,655,397 outputs
Outputs from Implementation Science
#1,688
of 1,715 outputs
Outputs of similar age
#110,088
of 119,654 outputs
Outputs of similar age from Implementation Science
#26
of 28 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 119,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.