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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Procalcitonin-Based Algorithm to Guide Antibiotic Therapy in Secondary Peritonitis following Emergency Surgery: A Prospective Study with Propensity Score Matching Analysis
|
|---|---|
| Published in |
PLOS ONE, March 2014
|
| DOI | 10.1371/journal.pone.0090539 |
| Pubmed ID | |
| Authors |
Ting-Shuo Huang, Shie-Shian Huang, Yu-Chiau Shyu, Chun-Hui Lee, Shyh-Chuan Jwo, Pei-Jer Chen, Huang-Yang Chen |
| Abstract |
Procalcitonin (PCT)-based algorithms have been used to guide antibiotic therapy in several clinical settings. However, evidence supporting PCT-based algorithms for secondary peritonitis after emergency surgery is scanty. In this study, we aimed to investigate whether a PCT-based algorithm could safely reduce antibiotic exposure in this population. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 1% |
| China | 1 | 1% |
| Germany | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 69 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 13 | 18% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 8 | 11% |
| Student > Doctoral Student | 7 | 10% |
| Student > Postgraduate | 7 | 10% |
| Other | 17 | 23% |
| Unknown | 12 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 39 | 53% |
| Nursing and Health Professions | 5 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 5 | 7% |
| Unknown | 17 | 23% |
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 09 February 2021.
All research outputs
#6,133,719
of 22,751,628 outputs
Outputs from PLOS ONE
#73,376
of 194,172 outputs
Outputs of similar age
#58,120
of 221,291 outputs
Outputs of similar age from PLOS ONE
#1,947
of 6,078 outputs
Altmetric has tracked 22,751,628 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 194,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 61% 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 221,291 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 6,078 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.