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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer order entry systems in the emergency department significantly reduce the time to medication delivery for high acuity patients
|
|---|---|
| Published in |
International Journal of Emergency Medicine, July 2013
|
| DOI | 10.1186/1865-1380-6-20 |
| Pubmed ID | |
| Authors |
Shahbaz Syed, Dongmei Wang, Debbie Goulard, Tom Rich, Grant Innes, Eddy Lang |
| Abstract |
Computerized physician order entry (CPOE) systems are designed to increase safety and improve quality of care; however, their impact on efficiency in the ED has not yet been validated. This study examined the impact of CPOE on process times for medication delivery, laboratory utilization and diagnostic imaging in the early, late and control phases of a regional ED-CPOE implementation. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Mexico | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Canada | 1 | 3% |
| Unknown | 28 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 27% |
| Student > Ph. D. Student | 4 | 13% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 7 | 23% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 43% |
| Nursing and Health Professions | 7 | 23% |
| Computer Science | 2 | 7% |
| Economics, Econometrics and Finance | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 4 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 10 July 2016.
All research outputs
#3,770,129
of 25,371,288 outputs
Outputs from International Journal of Emergency Medicine
#131
of 654 outputs
Outputs of similar age
#31,201
of 206,624 outputs
Outputs of similar age from International Journal of Emergency Medicine
#5
of 16 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 79% 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 206,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 16 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 68% of its contemporaries.