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Relationship Between Bacterial Strain Type, Host Biomarkers, and Mortality in Clostridium difficile Infection

Overview of attention for article published in Clinical Infectious Diseases, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
policy
2 policy sources
twitter
5 X users

Citations

dimensions_citation
192 Dimensions

Readers on

mendeley
145 Mendeley
citeulike
1 CiteULike
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Title
Relationship Between Bacterial Strain Type, Host Biomarkers, and Mortality in Clostridium difficile Infection
Published in
Clinical Infectious Diseases, March 2013
DOI 10.1093/cid/cit127
Pubmed ID
Authors

A. Sarah Walker, David W. Eyre, David H. Wyllie, Kate E. Dingle, David Griffiths, Brian Shine, Sarah Oakley, Lily O'Connor, John Finney, Alison Vaughan, Derrick W. Crook, Mark H. Wilcox, Tim E. A. Peto, on behalf of the Infections in Oxfordshire Research Database

Abstract

Despite substantial interest in biomarkers, their impact on clinical outcomes and variation with bacterial strain has rarely been explored using integrated databases.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 3 2%
United Kingdom 2 1%
United States 2 1%
Chile 1 <1%
Spain 1 <1%
Germany 1 <1%
Unknown 135 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 22%
Student > Ph. D. Student 22 15%
Student > Master 20 14%
Other 13 9%
Student > Bachelor 11 8%
Other 28 19%
Unknown 19 13%
Readers by discipline Count As %
Medicine and Dentistry 53 37%
Agricultural and Biological Sciences 30 21%
Biochemistry, Genetics and Molecular Biology 17 12%
Immunology and Microbiology 13 9%
Physics and Astronomy 3 2%
Other 9 6%
Unknown 20 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 18 June 2019.
All research outputs
#2,290,573
of 25,371,288 outputs
Outputs from Clinical Infectious Diseases
#3,906
of 16,853 outputs
Outputs of similar age
#18,375
of 207,743 outputs
Outputs of similar age from Clinical Infectious Diseases
#31
of 171 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.7. This one has done well, scoring higher than 76% 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 207,743 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 171 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.