You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Procalcitonin-guided algorithm to reduce length of antibiotic therapy in patients with severe sepsis and septic shock
|
|---|---|
| Published in |
BMC Infectious Diseases, April 2013
|
| DOI | 10.1186/1471-2334-13-158 |
| Pubmed ID | |
| Authors |
Andreas Hohn, Stefan Schroeder, Anna Gehrt, Kathrin Bernhardt, Berthold Bein, Karl Wegscheider, Marcel Hochreiter |
| Abstract |
Procalcitonin (PCT)-protocols to guide antibiotic treatment in severe infections are known to be effective. But less is known about the long-term effects of such protocols on antibiotic consumption under real life conditions. This retrospective study analyses the effects on antibiotic use in patients with severe sepsis and septic shock after implementation of a PCT-protocol. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 1 | 13% |
| Saudi Arabia | 1 | 13% |
| Dominican Republic | 1 | 13% |
| Mexico | 1 | 13% |
| France | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 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 % |
|---|---|---|
| Indonesia | 1 | <1% |
| Colombia | 1 | <1% |
| Russia | 1 | <1% |
| Greece | 1 | <1% |
| Unknown | 142 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 27 | 18% |
| Researcher | 20 | 14% |
| Student > Master | 18 | 12% |
| Student > Ph. D. Student | 15 | 10% |
| Professor > Associate Professor | 12 | 8% |
| Other | 31 | 21% |
| Unknown | 23 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 79 | 54% |
| Pharmacology, Toxicology and Pharmaceutical Science | 9 | 6% |
| Agricultural and Biological Sciences | 9 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Nursing and Health Professions | 5 | 3% |
| Other | 12 | 8% |
| Unknown | 27 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 28 August 2013.
All research outputs
#6,618,746
of 24,631,014 outputs
Outputs from BMC Infectious Diseases
#2,061
of 8,247 outputs
Outputs of similar age
#52,661
of 204,324 outputs
Outputs of similar age from BMC Infectious Diseases
#26
of 138 outputs
Altmetric has tracked 24,631,014 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,247 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 74% 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 204,324 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 74% of its contemporaries.
We're also able to compare this research output to 138 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.