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X Demographics
Mendeley readers
Attention Score in Context
| Title |
External Validation of the Emergency Trauma Score for Early Prediction of Mortality in Trauma Patients*
|
|---|---|
| Published in |
Critical Care Medicine, January 2014
|
| DOI | 10.1097/ccm.0b013e31829e53f5 |
| Pubmed ID | |
| Authors |
Pieter Joosse, Willem-Jan J. de Jong, Johannes B. Reitsma, Klaus W. Wendt, Niels W. Schep, J. Carel Goslings |
| Abstract |
The Emergency Trauma Score has been developed for early estimation of mortality risk in adult trauma patients with an Injury Severity Score of 16 or higher. Emergency Trauma Score combines four early predictors available at the trauma resuscitation room: age, Glasgow Coma Scale, base excess, and prothrombin time. Our goal was to validate the Emergency Trauma Score in two large external cohorts. As the Injury Severity Score is not accurately known at the time patients present at the resuscitation room, we evaluated the performance of Emergency Trauma Score in all trauma patients. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Unknown | 50 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 9 | 18% |
| Student > Bachelor | 6 | 12% |
| Student > Master | 5 | 10% |
| Professor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 67% |
| Social Sciences | 2 | 4% |
| Economics, Econometrics and Finance | 1 | 2% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 22% |
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 30 December 2013.
All research outputs
#14,783,688
of 25,374,647 outputs
Outputs from Critical Care Medicine
#6,625
of 9,341 outputs
Outputs of similar age
#172,525
of 319,280 outputs
Outputs of similar age from Critical Care Medicine
#73
of 122 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 9,341 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 28th percentile – i.e., 28% 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 319,280 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.