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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Body temperature patterns as a predictor of hospital-acquired sepsis in afebrile adult intensive care unit patients: a case-control study
|
|---|---|
| Published in |
Critical Care, September 2013
|
| DOI | 10.1186/cc12894 |
| Pubmed ID | |
| Authors |
Anne M Drewry, Brian M Fuller, Thomas C Bailey, Richard S Hotchkiss |
| Abstract |
Early treatment of sepsis improves survival, but early diagnosis of hospital-acquired sepsis, especially in critically ill patients, is challenging. Evidence suggests that subtle changes in body temperature patterns may be an early indicator of sepsis, but data is limited. The aim of this study was to examine whether abnormal body temperature patterns, as identified by visual examination, could predict the subsequent diagnosis of sepsis in afebrile critically ill patients. |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| United Kingdom | 1 | 8% |
| Chile | 1 | 8% |
| Unknown | 9 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 77% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 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% |
| Colombia | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 116 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 17 | 14% |
| Other | 16 | 13% |
| Student > Bachelor | 16 | 13% |
| Researcher | 14 | 12% |
| Student > Ph. D. Student | 13 | 11% |
| Other | 23 | 19% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 43% |
| Nursing and Health Professions | 13 | 11% |
| Engineering | 7 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Computer Science | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 January 2024.
All research outputs
#1,247,881
of 25,374,917 outputs
Outputs from Critical Care
#1,054
of 6,554 outputs
Outputs of similar age
#10,852
of 210,956 outputs
Outputs of similar age from Critical Care
#7
of 89 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% 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 done well, scoring higher than 83% 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 210,956 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 94% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.