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Can Inpatient Hospital Experiences Predict Central Line-Associated Bloodstream Infections?

Overview of attention for article published in PLoS ONE, April 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
23 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
24 Mendeley

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Title
Can Inpatient Hospital Experiences Predict Central Line-Associated Bloodstream Infections?
Published in
PLoS ONE, April 2013
DOI 10.1371/journal.pone.0061097
Pubmed ID
23577195
Authors

Daniel M. Saman, Kevin T. Kavanagh, Brian Johnson, M. Nawal Lutfiyya

Abstract

Factors that increase the risk of central line-associated bloodstream infections (CLABSIs) are not fully understood. Recently, Hospital Compare began compiling data from hospital-required reporting to the CDC's National Healthcare Safety Network on CLABSIs in intensive care units (ICUs), at over 4,000 Medicare-certified hospitals in the United States, and made this data accessible on a central website. Also available on the same website are results from the Hospital Consumer Assessment of Healthcare Providers and Systems survey of patients' hospital experiences. Utilizing both databases, our objective was to determine whether patients' hospital experiences were significantly associated with increased risk for reported ICU CLABSI.

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Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 8%
Unknown 22 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 17%
Researcher 4 17%
Student > Doctoral Student 3 13%
Professor 2 8%
Student > Ph. D. Student 2 8%
Other 9 38%
Readers by discipline Count As %
Medicine and Dentistry 14 58%
Nursing and Health Professions 3 13%
Business, Management and Accounting 2 8%
Computer Science 1 4%
Agricultural and Biological Sciences 1 4%
Other 3 13%

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 24 April 2013.
All research outputs
#845,176
of 12,345,226 outputs
Outputs from PLoS ONE
#15,137
of 135,417 outputs
Outputs of similar age
#11,233
of 143,966 outputs
Outputs of similar age from PLoS ONE
#477
of 4,508 outputs
Altmetric has tracked 12,345,226 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 135,417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done well, scoring higher than 88% 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 143,966 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 92% of its contemporaries.
We're also able to compare this research output to 4,508 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.

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