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Shaking chills and high body temperature predict bacteremia especially among elderly patients

Overview of attention for article published in SpringerPlus, November 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page

Readers on

mendeley
40 Mendeley
Title
Shaking chills and high body temperature predict bacteremia especially among elderly patients
Published in
SpringerPlus, November 2013
DOI 10.1186/2193-1801-2-624
Pubmed ID
Authors

Tomohiro Taniguchi, Sanefumi Tsuha, Yoshihiro Takayama, Soichi Shiiki

Abstract

The difference in predictors of bacteremia between elderly and non-elderly patients is unclear despite the aging of society. The objective was to determine predictors of bacteremia among elderly patients aged 80 years and older compared to non-elderly patients aged 18 to 79 years.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Other 12 30%
Researcher 5 13%
Student > Bachelor 4 10%
Lecturer > Senior Lecturer 2 5%
Professor 2 5%
Other 6 15%
Unknown 9 23%
Readers by discipline Count As %
Medicine and Dentistry 26 65%
Nursing and Health Professions 2 5%
Social Sciences 1 3%
Agricultural and Biological Sciences 1 3%
Unknown 10 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 06 March 2023.
All research outputs
#3,186,679
of 23,495,502 outputs
Outputs from SpringerPlus
#188
of 1,855 outputs
Outputs of similar age
#37,530
of 305,782 outputs
Outputs of similar age from SpringerPlus
#8
of 94 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,855 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 89% 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 305,782 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 87% of its contemporaries.
We're also able to compare this research output to 94 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 91% of its contemporaries.