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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prehospital treatment of sepsis: what really makes the “golden hour” golden?
|
|---|---|
| Published in |
Critical Care, December 2014
|
| DOI | 10.1186/s13054-014-0697-4 |
| Pubmed ID | |
| Authors |
Sarah A Sterling, Michael A Puskarich, Alan E Jones |
| Abstract |
The early recognition of severe sepsis is important; however, early identification of severe sepsis can be challenging, especially in the prehospital setting. As previous research has shown, advanced notification of time-sensitive disease states by prehospital personnel can improve outcomes and time to initiation of treatments. Prehospital personnel can potentially impact outcomes in sepsis through early identification and treatment implementations, improving processes of care and transition of care. Further research is needed for a full evaluation of prehospital treatment effects of identification of sepsis and treatment by prehospital personnel and the impact on outcomes. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 4 | 24% |
| Italy | 2 | 12% |
| United Kingdom | 1 | 6% |
| Saudi Arabia | 1 | 6% |
| Australia | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Practitioners (doctors, other healthcare professionals) | 4 | 24% |
| Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 19% |
| Student > Postgraduate | 9 | 13% |
| Other | 9 | 13% |
| Student > Master | 9 | 13% |
| Professor > Associate Professor | 5 | 7% |
| Other | 12 | 18% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 50% |
| Nursing and Health Professions | 20 | 29% |
| Computer Science | 1 | 1% |
| Unknown | 13 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 13 November 2016.
All research outputs
#1,956,598
of 25,374,647 outputs
Outputs from Critical Care
#1,754
of 6,554 outputs
Outputs of similar age
#24,895
of 347,668 outputs
Outputs of similar age from Critical Care
#17
of 124 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 73% 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 347,668 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.