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X Demographics
Mendeley readers
Attention Score in Context
| Title |
How severe is antibiotic pharmacokinetic variability in critically ill patients and what can be done about it?
|
|---|---|
| Published in |
Diagnostic Microbiology & Infectious Disease, April 2014
|
| DOI | 10.1016/j.diagmicrobio.2014.04.007 |
| Pubmed ID | |
| Authors |
T.W. Felton, W.W. Hope, J.A. Roberts |
| Abstract |
The pharmacokinetics (PK) of antimicrobial agents administered to critically ill patients exhibit marked variability. This variability results from pathophysiological changes that occur in critically ill patients. Changes in volume of distribution, clearance, and tissue penetration all affect the drug concentrations at the site of infection. PK-pharmacodynamic indices (fCmax:MIC; AUC0-24:MIC; fT>MIC; fCmin:MIC) for both antimicrobial effect and suppression of emergence of resistance are described for many antimicrobial drugs. Changing the regimen by which antimicrobial drugs are delivered can help overcome the PK variability and optimise target attainment. This will deliver optimised antimicrobial chemotherapy to individual critically ill patients. Delivery of β-lactams antimicrobial agents by infusions, rather than bolus dosing, is effective at increasing the duration of the dosing interval that the drug concentration is above the MIC. Therapeutic drug monitoring, utilising population PK mathematical models with Bayesian estimation, can also be used to optimise regimens following measurement of plasma drug concentrations. Clinical trials are required to establish if patient outcomes can be improved by implementing these techniques. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 12 | 63% |
| United Kingdom | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 5 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Practitioners (doctors, other healthcare professionals) | 4 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Unknown | 102 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 17% |
| Student > Ph. D. Student | 17 | 16% |
| Other | 12 | 11% |
| Researcher | 12 | 11% |
| Student > Doctoral Student | 7 | 7% |
| Other | 22 | 21% |
| Unknown | 17 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 48 | 46% |
| Pharmacology, Toxicology and Pharmaceutical Science | 21 | 20% |
| Agricultural and Biological Sciences | 3 | 3% |
| Nursing and Health Professions | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 6 | 6% |
| Unknown | 23 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 02 April 2015.
All research outputs
#2,971,838
of 25,411,814 outputs
Outputs from Diagnostic Microbiology & Infectious Disease
#102
of 2,304 outputs
Outputs of similar age
#28,826
of 241,760 outputs
Outputs of similar age from Diagnostic Microbiology & Infectious Disease
#1
of 33 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,304 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 95% 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 241,760 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 88% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.