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Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke

Overview of attention for article published in PLOS ONE, October 2012
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1 Facebook page

Citations

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74 Dimensions

Readers on

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83 Mendeley
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Title
Copeptin, Procalcitonin and Routine Inflammatory Markers–Predictors of Infection after Stroke
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0048309
Pubmed ID
Authors

Felix Fluri, Nils G. Morgenthaler, Beat Mueller, Mirjam Christ-Crain, Mira Katan

Abstract

Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Cameroon 1 1%
United Kingdom 1 1%
Unknown 79 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Researcher 10 12%
Student > Ph. D. Student 9 11%
Student > Doctoral Student 8 10%
Student > Postgraduate 8 10%
Other 17 20%
Unknown 18 22%
Readers by discipline Count As %
Medicine and Dentistry 41 49%
Neuroscience 6 7%
Agricultural and Biological Sciences 3 4%
Immunology and Microbiology 3 4%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 6 7%
Unknown 22 27%
Attention Score in Context

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 01 November 2012.
All research outputs
#20,171,868
of 22,684,168 outputs
Outputs from PLOS ONE
#172,805
of 193,651 outputs
Outputs of similar age
#163,912
of 184,188 outputs
Outputs of similar age from PLOS ONE
#4,150
of 4,894 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 1st percentile – i.e., 1% 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 184,188 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,894 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.