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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical review: Can we predict which patients are at risk of complications following surgery?
|
|---|---|
| Published in |
Critical Care, May 2013
|
| DOI | 10.1186/cc11904 |
| Pubmed ID | |
| Authors |
Nirav Shah, Mark Hamilton |
| Abstract |
There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk prediction models. Finally, we will be looking at the evolution and evidence for functional assessment and the National Surgical Quality Improvement Program (in the USA), both topical and exciting areas of perioperative prediction. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Netherlands | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | <1% |
| Unknown | 110 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 12% |
| Student > Master | 13 | 12% |
| Other | 11 | 10% |
| Unspecified | 11 | 10% |
| Student > Doctoral Student | 11 | 10% |
| Other | 33 | 30% |
| Unknown | 19 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 61 | 55% |
| Unspecified | 11 | 10% |
| Social Sciences | 3 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Business, Management and Accounting | 2 | 2% |
| Other | 8 | 7% |
| Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 May 2014.
All research outputs
#14,600,553
of 25,374,647 outputs
Outputs from Critical Care
#4,805
of 6,554 outputs
Outputs of similar age
#107,826
of 205,285 outputs
Outputs of similar age from Critical Care
#77
of 127 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
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 25th percentile – i.e., 25% 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 205,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.