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Algorithm for pre-emptive glycopeptide treatment in patients with haematologic malignancies and an Enterococcus faecium bloodstream infection

Overview of attention for article published in Antimicrobial Resistance and Infection Control, September 2013
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Mentioned by

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2 tweeters

Citations

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6 Dimensions

Readers on

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35 Mendeley
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Title
Algorithm for pre-emptive glycopeptide treatment in patients with haematologic malignancies and an Enterococcus faecium bloodstream infection
Published in
Antimicrobial Resistance and Infection Control, September 2013
DOI 10.1186/2047-2994-2-24
Pubmed ID
Authors

Zhou X, Arends JP, Span LF, Friedrich AW, Xuewei Zhou, Jan P Arends, Lambert FR Span, Alexander W Friedrich

Abstract

Nowadays Enterococcus faecium has become one of the most emerging and challenging nosocomial pathogens. The aim of this study was to determine risk factors in haematology patients who are at risk of an Enterococcus faecium bloodstream infection (BSI) and should be considered for pre-emptive glycopeptide treatment. With these identified risk factors a prediction model can be developed for clinical use.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 29%
Researcher 5 14%
Librarian 3 9%
Other 3 9%
Student > Postgraduate 3 9%
Other 8 23%
Unknown 3 9%
Readers by discipline Count As %
Medicine and Dentistry 13 37%
Immunology and Microbiology 5 14%
Agricultural and Biological Sciences 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Other 4 11%
Unknown 5 14%

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 12 September 2013.
All research outputs
#6,804,958
of 11,073,641 outputs
Outputs from Antimicrobial Resistance and Infection Control
#366
of 440 outputs
Outputs of similar age
#70,984
of 141,205 outputs
Outputs of similar age from Antimicrobial Resistance and Infection Control
#6
of 6 outputs
Altmetric has tracked 11,073,641 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 10th percentile – i.e., 10% 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 141,205 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.