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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Risk stratification in emergency patients by copeptin
|
|---|---|
| Published in |
BMC Medicine, May 2014
|
| DOI | 10.1186/1741-7015-12-80 |
| Pubmed ID | |
| Authors |
Kasper Iversen, Jens P Gøtze, Morten Dalsgaard, Henrik Nielsen, Søren Boesgaard, Morten Bay, Vibeke Kirk, Olav W Nielsen, Lars Køber |
| Abstract |
Rapid risk stratification is a core task in emergency medicine. Identifying patients at high and low risk shortly after admission could help clinical decision-making regarding treatment, level of observation, allocation of resources and post discharge follow-up. The purpose of the present study was to determine short-, mid- and long-term mortality by plasma measurement of copeptin in unselected admitted 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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Unknown | 34 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Postgraduate | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Other | 11 | 31% |
| Unknown | 5 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 39% |
| Nursing and Health Professions | 5 | 14% |
| Engineering | 2 | 6% |
| Psychology | 2 | 6% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 May 2014.
All research outputs
#14,781,203
of 22,756,196 outputs
Outputs from BMC Medicine
#2,979
of 3,413 outputs
Outputs of similar age
#127,643
of 227,068 outputs
Outputs of similar age from BMC Medicine
#50
of 52 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 11th percentile – i.e., 11% 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 227,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.