| Title |
Advanced Modeling to Predict Pneumonia in Combat Trauma Patients
|
|---|---|
| Published in |
World Journal of Surgery, November 2019
|
| DOI | 10.1007/s00268-019-05294-3 |
| Pubmed ID | |
| Authors |
Matthew Bradley, Christopher Dente, Vivek Khatri, Seth Schobel, Felipe Lisboa, Audrey Shi, Hannah Hensman, Allan Kirk, Timothy G. Buchman, Eric Elster |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| Denmark | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 25% |
| Student > Master | 3 | 15% |
| Student > Ph. D. Student | 2 | 10% |
| Student > Doctoral Student | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Other | 1 | 5% |
| Unknown | 5 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 25% |
| Linguistics | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Mathematics | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 8 | 40% |
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 January 2021.
All research outputs
#7,600,529
of 24,615,420 outputs
Outputs from World Journal of Surgery
#1,433
of 4,497 outputs
Outputs of similar age
#155,521
of 467,802 outputs
Outputs of similar age from World Journal of Surgery
#41
of 98 outputs
Altmetric has tracked 24,615,420 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 4,497 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 67% 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 467,802 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 66% of its contemporaries.
We're also able to compare this research output to 98 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 57% of its contemporaries.