| Title |
Patient and Population-Level Approaches to Persistent Critical Illness and Prolonged Intensive Care Unit Stays
|
|---|---|
| Published in |
Critical care clinics, August 2018
|
| DOI | 10.1016/j.ccc.2018.06.001 |
| Pubmed ID | |
| Authors |
Theodore J Iwashyna, Elizabeth M Viglianti |
| Abstract |
The differential diagnosis of prolonged intensive care unit (ICU) stays includes intrinsic patient and admitting diagnostic characteristics, occurrences during the course of critical illness, and system failures. Existing data suggest that the most common cause of prolonged ICU stay is the development of new cascading problems, which is now more related to ongoing critical illness than the original reason for ICU admission. Accepting the dynamism inherent in such a clinical course has implications for contemporary clinical care. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 57% |
| Spain | 2 | 10% |
| United Kingdom | 1 | 5% |
| Mexico | 1 | 5% |
| Australia | 1 | 5% |
| Unknown | 4 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 71% |
| Scientists | 4 | 19% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 7 | 13% |
| Researcher | 7 | 13% |
| Student > Postgraduate | 7 | 13% |
| Professor | 6 | 11% |
| Student > Doctoral Student | 3 | 6% |
| Other | 9 | 17% |
| Unknown | 15 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 48% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Psychology | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 20 | 37% |
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 24 March 2022.
All research outputs
#2,963,172
of 25,385,509 outputs
Outputs from Critical care clinics
#93
of 694 outputs
Outputs of similar age
#56,493
of 341,333 outputs
Outputs of similar age from Critical care clinics
#4
of 21 outputs
Altmetric has tracked 25,385,509 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 694 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 86% 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 341,333 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.