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Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)

Overview of attention for article published in BMC Infectious Diseases, April 2014
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1 X user

Citations

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70 Dimensions

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72 Mendeley
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Title
Predicting the occurrence of embolic events: an analysis of 1456 episodes of infective endocarditis from the Italian Study on Endocarditis (SEI)
Published in
BMC Infectious Diseases, April 2014
DOI 10.1186/1471-2334-14-230
Pubmed ID
Authors

Marco Rizzi, Veronica Ravasio, Alessandra Carobbio, Irene Mattucci, Massimo Crapis, Roberto Stellini, Maria Bruna Pasticci, Pierangelo Chinello, Marco Falcone, Paolo Grossi, Francesco Barbaro, Angelo Pan, Pierluigi Viale, Emanuele Durante-Mangoni, and Investigators of the Italian Study on Endocarditis

Abstract

Embolic events are a major cause of morbidity and mortality in patients with infective endocarditis. We analyzed the database of the prospective cohort study SEI in order to identify factors associated with the occurrence of embolic events and to develop a scoring system for the assessment of the risk of embolism.

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 18%
Other 9 13%
Researcher 9 13%
Student > Master 8 11%
Student > Doctoral Student 5 7%
Other 14 19%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 49 68%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Biochemistry, Genetics and Molecular Biology 1 1%
Immunology and Microbiology 1 1%
Agricultural and Biological Sciences 1 1%
Other 0 0%
Unknown 18 25%
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 19 December 2014.
All research outputs
#15,313,289
of 22,775,504 outputs
Outputs from BMC Infectious Diseases
#4,453
of 7,669 outputs
Outputs of similar age
#134,280
of 227,543 outputs
Outputs of similar age from BMC Infectious Diseases
#104
of 159 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,669 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% 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 227,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.