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Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort

Overview of attention for article published in BMC Infectious Diseases, March 2013
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1 tweeter

Citations

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Title
Validation of the chronic disease score-infectious disease (CDS-ID) for the prediction of hospital-associated clostridium difficile infection (CDI) within a retrospective cohort
Published in
BMC Infectious Diseases, March 2013
DOI 10.1186/1471-2334-13-150
Pubmed ID
Authors

Vanessa Stevens, Cathleen Concannon, Edwin van Wijngaarden, Jessina McGregor

Abstract

Aggregate comorbidity scores are useful for summarizing risk and confounder control in studies of hospital-associated infections. The Chronic Disease Score - Infectious Diseases (CDS-ID) was developed for this purpose, but it has not been validated for use in studies of Clostridium difficile Infection (CDI). The aim of this study was to assess the discrimination, calibration and potential for confounder control of CDS-ID compared to age alone or individual comorbid conditions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 17%
Student > Doctoral Student 4 14%
Student > Master 4 14%
Professor > Associate Professor 3 10%
Student > Bachelor 3 10%
Other 7 24%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 10 34%
Agricultural and Biological Sciences 4 14%
Immunology and Microbiology 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Nursing and Health Professions 1 3%
Other 4 14%
Unknown 7 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 March 2013.
All research outputs
#3,556,807
of 5,037,615 outputs
Outputs from BMC Infectious Diseases
#1,956
of 2,669 outputs
Outputs of similar age
#62,476
of 93,606 outputs
Outputs of similar age from BMC Infectious Diseases
#96
of 135 outputs
Altmetric has tracked 5,037,615 research outputs across all sources so far. This one is in the 16th percentile – i.e., 16% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,669 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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 93,606 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 135 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.