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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Implementation and evaluation of a nurse-centered computerized potassium regulation protocol in the intensive care unit - a before and after analysis
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, January 2010
|
| DOI | 10.1186/1472-6947-10-5 |
| Pubmed ID | |
| Authors |
Miriam Hoekstra, Mathijs Vogelzang, José T Drost, Marcel Janse, Bert G Loef, Iwan CC van der Horst, Felix Zijlstra, Maarten WN Nijsten |
| Abstract |
Potassium disorders can cause major complications and must be avoided in critically ill patients. Regulation of potassium in the intensive care unit (ICU) requires potassium administration with frequent blood potassium measurements and subsequent adjustments of the amount of potassium administrated. The use of a potassium replacement protocol can improve potassium regulation. For safety and efficiency, computerized protocols appear to be superior over paper protocols. The aim of this study was to evaluate if a computerized potassium regulation protocol in the ICU improved potassium regulation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 58 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 8 | 13% |
| Researcher | 7 | 12% |
| Other | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Other | 13 | 22% |
| Unknown | 9 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 23% |
| Nursing and Health Professions | 14 | 23% |
| Computer Science | 8 | 13% |
| Social Sciences | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 9 | 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 03 September 2013.
All research outputs
#18,304,874
of 22,663,150 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,561
of 1,978 outputs
Outputs of similar age
#150,309
of 164,268 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 11 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% 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 9th percentile – i.e., 9% 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 164,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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.