| Title |
Derivation and validation of a simple, accurate and robust prediction rule for risk of mortality in patients with Clostridium difficile infection
|
|---|---|
| Published in |
BMC Infectious Diseases, July 2013
|
| DOI | 10.1186/1471-2334-13-316 |
| Pubmed ID | |
| Authors |
Emma Butt, Jane AH Foster, Edward Keedwell, Julia EA Bell, Richard W Titball, Aneel Bhangu, Stephen L Michell, Ray Sheridan |
| Abstract |
Clostridium difficile infection poses a significant healthcare burden. However, the derivation of a simple, evidence based prediction rule to assist patient management has not yet been described.This study aimed to identify such a prediction rule to stratify hospital inpatients according to risk of all-cause mortality, at initial diagnosis of infection. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| United States | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| United Kingdom | 1 | 3% |
| Unknown | 33 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 8 | 22% |
| Unspecified | 6 | 17% |
| Researcher | 6 | 17% |
| Student > Bachelor | 2 | 6% |
| Professor | 2 | 6% |
| Other | 9 | 25% |
| Unknown | 3 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 22% |
| Unspecified | 6 | 17% |
| Agricultural and Biological Sciences | 4 | 11% |
| Business, Management and Accounting | 2 | 6% |
| Mathematics | 2 | 6% |
| Other | 8 | 22% |
| Unknown | 6 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 07 August 2013.
All research outputs
#2,314,163
of 22,714,025 outputs
Outputs from BMC Infectious Diseases
#675
of 7,658 outputs
Outputs of similar age
#20,874
of 194,569 outputs
Outputs of similar age from BMC Infectious Diseases
#10
of 143 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,658 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 91% 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 194,569 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 143 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 93% of its contemporaries.