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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimation of plasma fibrinogen levels based on hemoglobin, base excess and Injury Severity Score upon emergency room admission
|
|---|---|
| Published in |
Critical Care, July 2013
|
| DOI | 10.1186/cc12816 |
| Pubmed ID | |
| Authors |
Christoph J Schlimp, Wolfgang Voelckel, Kenji Inaba, Marc Maegele, Martin Ponschab, Herbert Schöchl |
| Abstract |
Fibrinogen plays a key role in hemostasis and is the first coagulation factor to reach critical levels in massively bleeding trauma patients. Consequently, rapid estimation of plasma fibrinogen (FIB) is essential upon emergency room (ER) admission, but is not part of routine coagulation monitoring in many centers. We investigated the predictive ability of the laboratory parameters hemoglobin (Hb) and base excess (BE) upon admission, as well as the Injury Severity Score (ISS), to estimate FIB in major trauma patients. |
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 % |
|---|---|---|
| United States | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Canada | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 76 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 16% |
| Other | 11 | 14% |
| Student > Postgraduate | 11 | 14% |
| Student > Ph. D. Student | 7 | 9% |
| Student > Master | 7 | 9% |
| Other | 14 | 18% |
| Unknown | 17 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 56 | 70% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Nursing and Health Professions | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 June 2015.
All research outputs
#6,875,065
of 25,373,627 outputs
Outputs from Critical Care
#3,844
of 6,554 outputs
Outputs of similar age
#54,623
of 207,019 outputs
Outputs of similar age from Critical Care
#32
of 98 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
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 41st percentile – i.e., 41% 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 207,019 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 73% 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 67% of its contemporaries.