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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards zero rate in healthcare-associated infections: one size shall not fit all...
|
|---|---|
| Published in |
Critical Care, January 2013
|
| DOI | 10.1186/cc12590 |
| Pubmed ID | |
| Authors |
Thiago Lisboa, Jordi Rello |
| Abstract |
ICU patients are identified as targets for quality of care and patient safety improvement strategies. Critically ill patients are at high risk for complications due to the complex and invasive nature of critical care. Several reports in the literature describe initiatives aiming to zero the healthcare-associated infection rate. We discuss the results of a study assessing a systematic team approach with very aggressive interventions surrounding the Institute for Healthcare Improvement Central Line-associated Blood Stream Infection bundle, which obtained a successful reduction of the rates. In addition, we discuss why some healthcare-associated infections are not fully preventable and the different reasons for this, the identification of which would be a cornerstone of quality improvement and safety promotion initiatives in critically ill patients. |
Twitter Demographics
The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 20% |
| Student > Master | 3 | 15% |
| Other | 2 | 10% |
| Student > Postgraduate | 2 | 10% |
| Researcher | 2 | 10% |
| Other | 5 | 25% |
| Unknown | 2 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 35% |
| Unspecified | 4 | 20% |
| Nursing and Health Professions | 3 | 15% |
| Engineering | 2 | 10% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 01 January 2015.
All research outputs
#6,121,494
of 22,708,120 outputs
Outputs from Critical Care
#3,480
of 6,037 outputs
Outputs of similar age
#65,272
of 280,717 outputs
Outputs of similar age from Critical Care
#114
of 287 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 6,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one is in the 41st percentile – i.e., 41% 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 280,717 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 76% of its contemporaries.
We're also able to compare this research output to 287 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 58% of its contemporaries.