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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The use of a standardized PCT-algorithm reduces costs in intensive care in septic patients - a DRG-based simulation model
|
|---|---|
| Published in |
European Journal of Medical Research, December 2011
|
| DOI | 10.1186/2047-783x-16-12-543 |
| Pubmed ID | |
| Authors |
MH Wilke, RF Grube, KF Bodmann |
| Abstract |
The management of bloodstream infections especially sepsis is a difficult task. An optimal antibiotic therapy (ABX) is paramount for success. Procalcitonin (PCT) is a well investigated biomarker that allows close monitoring of the infection and management of ABX. It has proven to be a cost-efficient diagnostic tool. In Diagnoses Related Groups (DRG) based reimbursement systems, hospitals get only a fixed amount of money for certain treatments. Thus it's very important to obtain an optimal balance of clinical treatment and resource consumption namely the length of stay in hospital and especially in the Intensive Care Unit (ICU). We investigated which economic effects an optimized PCT-based algorithm for antibiotic management could have. |
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 % |
|---|---|---|
| France | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Canada | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 65 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Other | 6 | 9% |
| Professor > Associate Professor | 5 | 7% |
| Other | 16 | 24% |
| Unknown | 19 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 35% |
| Unspecified | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Social Sciences | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 22 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 July 2022.
All research outputs
#4,835,465
of 25,371,288 outputs
Outputs from European Journal of Medical Research
#139
of 923 outputs
Outputs of similar age
#36,832
of 246,047 outputs
Outputs of similar age from European Journal of Medical Research
#3
of 6 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 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 82% 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 246,047 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 83% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.