| Title |
Factors that contribute to physician variability in decisions to limit life support in the ICU: a qualitative study
|
|---|---|
| Published in |
Intensive Care Medicine, April 2013
|
| DOI | 10.1007/s00134-013-2896-x |
| Pubmed ID | |
| Authors |
Michael E. Wilson, Lori M. Rhudy, Beth A. Ballinger, Ann N. Tescher, Brian W. Pickering, Ognjen Gajic |
| Abstract |
Our aim was to explore reasons for physician variability in decisions to limit life support in the intensive care unit (ICU) utilizing qualitative methodology. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 4 | 67% |
| Egypt | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Belgium | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 115 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 13% |
| Student > Ph. D. Student | 14 | 12% |
| Other | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Researcher | 10 | 8% |
| Other | 29 | 24% |
| Unknown | 26 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 43% |
| Nursing and Health Professions | 14 | 12% |
| Social Sciences | 7 | 6% |
| Engineering | 5 | 4% |
| Psychology | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 28 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 July 2020.
All research outputs
#7,212,223
of 22,965,074 outputs
Outputs from Intensive Care Medicine
#2,801
of 5,006 outputs
Outputs of similar age
#63,251
of 200,729 outputs
Outputs of similar age from Intensive Care Medicine
#16
of 34 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 5,006 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one is in the 43rd percentile – i.e., 43% 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 200,729 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 34 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 55% of its contemporaries.