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Knowledge discovery of drug data on the example of adverse reaction prediction

Overview of attention for article published in BMC Bioinformatics, May 2014
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Title
Knowledge discovery of drug data on the example of adverse reaction prediction
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-s6-s7
Pubmed ID
Authors

Pinar Yildirim, Ljiljana Majnarić, Ozgur Ilyas Ekmekci, Andreas Holzinger

Abstract

Antibiotics are the widely prescribed drugs for children and most likely to be related with adverse reactions. Record on adverse reactions and allergies from antibiotics considerably affect the prescription choices. We consider this a biomedical decision-making problem and explore hidden knowledge in survey results on data extracted from a big data pool of health records of children, from the Health Center of Osijek, Eastern Croatia.

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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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Canada 1 2%
Austria 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 9 15%
Researcher 7 12%
Student > Doctoral Student 6 10%
Professor > Associate Professor 4 7%
Other 12 20%
Unknown 12 20%
Readers by discipline Count As %
Computer Science 14 23%
Medicine and Dentistry 13 22%
Biochemistry, Genetics and Molecular Biology 4 7%
Social Sciences 3 5%
Psychology 2 3%
Other 5 8%
Unknown 19 32%
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 06 October 2014.
All research outputs
#19,701,336
of 24,224,854 outputs
Outputs from BMC Bioinformatics
#6,534
of 7,512 outputs
Outputs of similar age
#169,171
of 231,429 outputs
Outputs of similar age from BMC Bioinformatics
#116
of 149 outputs
Altmetric has tracked 24,224,854 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,512 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 231,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.