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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing the Surveillance Algorithm for Detection of Failure to Recognize and Treat Severe Sepsis
|
|---|---|
| Published in |
Mayo Clinic Proceedings, January 2015
|
| DOI | 10.1016/j.mayocp.2014.11.014 |
| Pubmed ID | |
| Authors |
Andrew M. Harrison, Charat Thongprayoon, Rahul Kashyap, Christopher G. Chute, Ognjen Gajic, Brian W. Pickering, Vitaly Herasevich |
| Abstract |
To develop and test an automated surveillance algorithm (sepsis "sniffer") for the detection of severe sepsis and monitoring failure to recognize and treat severe sepsis in a timely manner. |
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 % |
|---|---|---|
| United Kingdom | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Unknown | 89 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 13 | 14% |
| Researcher | 12 | 13% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Master | 9 | 10% |
| Student > Postgraduate | 8 | 9% |
| Other | 24 | 26% |
| Unknown | 16 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 45 | 49% |
| Nursing and Health Professions | 5 | 5% |
| Computer Science | 5 | 5% |
| Agricultural and Biological Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Other | 8 | 9% |
| Unknown | 21 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 26 June 2015.
All research outputs
#14,536,679
of 25,374,647 outputs
Outputs from Mayo Clinic Proceedings
#3,386
of 5,150 outputs
Outputs of similar age
#176,767
of 358,894 outputs
Outputs of similar age from Mayo Clinic Proceedings
#26
of 48 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.6. This one is in the 33rd percentile – i.e., 33% 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 358,894 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 50% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.