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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study
|
|---|---|
| Published in |
BMC Medical Research Methodology, October 2020
|
| DOI | 10.1186/s12874-020-01151-3 |
| Pubmed ID | |
| Authors |
Luis Serviá, Neus Montserrat, Mariona Badia, Juan Antonio Llompart-Pou, Jesús Abelardo Barea-Mendoza, Mario Chico-Fernández, Marcelino Sánchez-Casado, José Manuel Jiménez, Dolores María Mayor, Javier Trujillano |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 20% |
| Student > Bachelor | 8 | 8% |
| Researcher | 3 | 3% |
| Student > Postgraduate | 3 | 3% |
| Professor > Associate Professor | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 51 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 11% |
| Agricultural and Biological Sciences | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
| Nursing and Health Professions | 2 | 2% |
| Other | 11 | 11% |
| Unknown | 56 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 25 December 2020.
All research outputs
#3,692,679
of 23,253,955 outputs
Outputs from BMC Medical Research Methodology
#564
of 2,056 outputs
Outputs of similar age
#91,173
of 419,536 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 53 outputs
Altmetric has tracked 23,253,955 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 72% 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 419,536 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 53 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 60% of its contemporaries.