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Mendeley readers
Attention Score in Context
Title |
Determining delayed admission to the intensive care unit for mechanically ventilated patients in the emergency department
|
---|---|
Published in |
Critical Care, August 2014
|
DOI | 10.1186/s13054-014-0485-1 |
Pubmed ID | |
Authors |
Shih-Chiang Hung, Chia-Te Kung, Chih-Wei Hung, Ber-Ming Liu, Jien-Wei Liu, Ghee Chew, Hung-Yi Chuang, Wen-Huei Lee, Tzu-Chi Lee |
Abstract |
The adverse effects of delayed admission to the intensive care unit (ICU) have been recognized in previous studies. However, the definitions of delayed admission varies across studies. This study proposed a model to define "delayed admission", and explored the effect of ICU-waiting time on patients' outcome. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 6 | 21% |
United Kingdom | 4 | 14% |
United States | 2 | 7% |
Colombia | 1 | 3% |
Saudi Arabia | 1 | 3% |
Chile | 1 | 3% |
Netherlands | 1 | 3% |
Australia | 1 | 3% |
Italy | 1 | 3% |
Other | 1 | 3% |
Unknown | 10 | 34% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 59% |
Practitioners (doctors, other healthcare professionals) | 5 | 17% |
Science communicators (journalists, bloggers, editors) | 4 | 14% |
Scientists | 3 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 95 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 15 | 15% |
Researcher | 12 | 12% |
Other | 9 | 9% |
Student > Postgraduate | 9 | 9% |
Student > Bachelor | 9 | 9% |
Other | 23 | 23% |
Unknown | 21 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 56 | 57% |
Nursing and Health Professions | 7 | 7% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Business, Management and Accounting | 1 | 1% |
Environmental Science | 1 | 1% |
Other | 4 | 4% |
Unknown | 28 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 12 December 2017.
All research outputs
#1,784,735
of 25,373,627 outputs
Outputs from Critical Care
#1,584
of 6,554 outputs
Outputs of similar age
#18,077
of 247,529 outputs
Outputs of similar age from Critical Care
#12
of 104 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 75% 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 247,529 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.