| Title |
Clinical Decision-Support Systems for Detection of Systemic Inflammatory Response Syndrome, Sepsis, and Septic Shock in Critically Ill Patients: A Systematic Review
|
|---|---|
| Published in |
Methods of Information in Medicine, September 2019
|
| DOI | 10.1055/s-0039-1695717 |
| Pubmed ID | |
| Authors |
Antje Wulff, Sara Montag, Michael Marschollek, Thomas Jack |
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 % |
|---|---|---|
| Germany | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 146 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 24 | 16% |
| Researcher | 15 | 10% |
| Student > Ph. D. Student | 13 | 9% |
| Student > Master | 12 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 28 | 19% |
| Unknown | 46 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 24 | 16% |
| Medicine and Dentistry | 22 | 15% |
| Computer Science | 14 | 10% |
| Nursing and Health Professions | 10 | 7% |
| Business, Management and Accounting | 5 | 3% |
| Other | 22 | 15% |
| Unknown | 49 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 June 2022.
All research outputs
#5,168,050
of 25,413,176 outputs
Outputs from Methods of Information in Medicine
#53
of 697 outputs
Outputs of similar age
#94,520
of 351,812 outputs
Outputs of similar age from Methods of Information in Medicine
#1
of 5 outputs
Altmetric has tracked 25,413,176 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 697 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 351,812 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them