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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A research algorithm to improve detection of delirium in the intensive care unit
|
|---|---|
| Published in |
Critical Care, August 2006
|
| DOI | 10.1186/cc5027 |
| Pubmed ID | |
| Authors |
Margaret A Pisani, Katy LB Araujo, Peter H Van Ness, Ying Zhang, E Wesley Ely, Sharon K Inouye |
| Abstract |
Delirium is a serious and prevalent problem in intensive care units (ICU). The purpose of this study was to develop a research algorithm to enhance detection of delirium in critically ill ICU patients using chart review to complement a validated clinical delirium instrument. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uganda | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| India | 1 | <1% |
| Denmark | 1 | <1% |
| Czechia | 1 | <1% |
| Unknown | 110 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 21 | 18% |
| Student > Master | 17 | 15% |
| Researcher | 12 | 11% |
| Other | 11 | 10% |
| Student > Bachelor | 7 | 6% |
| Other | 29 | 25% |
| Unknown | 17 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 69 | 61% |
| Nursing and Health Professions | 9 | 8% |
| Neuroscience | 4 | 4% |
| Social Sciences | 3 | 3% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 12 | 11% |
| Unknown | 15 | 13% |
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 30 April 2019.
All research outputs
#7,355,930
of 25,373,627 outputs
Outputs from Critical Care
#4,041
of 6,554 outputs
Outputs of similar age
#27,842
of 90,539 outputs
Outputs of similar age from Critical Care
#8
of 17 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 6,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one is in the 37th percentile – i.e., 37% 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 90,539 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 67% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.