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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of computerized physician order entry (CPOE) system on the outcome of critically ill adult patients: a before-after study
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2011
|
| DOI | 10.1186/1472-6947-11-71 |
| Pubmed ID | |
| Authors |
Hasan M Al-Dorzi, Hani M Tamim, Antoine Cherfan, Mohamad A Hassan, Saadi Taher, Yaseen M Arabi |
| Abstract |
Computerized physician order entry (CPOE) systems are recommended to improve patient safety and outcomes. However, their effectiveness has been questioned. Our objective was to evaluate the impact of CPOE implementation on the outcome of critically ill patients. |
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 % |
|---|---|---|
| Saudi Arabia | 1 | 33% |
| India | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| Austria | 1 | <1% |
| South Africa | 1 | <1% |
| Canada | 1 | <1% |
| Saudi Arabia | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 135 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 38 | 27% |
| Student > Ph. D. Student | 18 | 13% |
| Other | 11 | 8% |
| Researcher | 11 | 8% |
| Student > Bachelor | 10 | 7% |
| Other | 28 | 20% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 53 | 38% |
| Nursing and Health Professions | 18 | 13% |
| Computer Science | 13 | 9% |
| Social Sciences | 8 | 6% |
| Business, Management and Accounting | 6 | 4% |
| Other | 15 | 11% |
| Unknown | 28 | 20% |
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 11 March 2018.
All research outputs
#14,722,660
of 22,659,164 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,224
of 1,978 outputs
Outputs of similar age
#158,015
of 238,824 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#12
of 17 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 238,824 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.