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Prediction of heart disease and classifiers’ sensitivity analysis

Overview of attention for article published in BMC Bioinformatics, July 2020
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Mentioned by

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1 X user

Citations

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100 Dimensions

Readers on

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226 Mendeley
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Title
Prediction of heart disease and classifiers’ sensitivity analysis
Published in
BMC Bioinformatics, July 2020
DOI 10.1186/s12859-020-03626-y
Pubmed ID
Authors

Khaled Mohamad Almustafa

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

Geographical breakdown

Country Count As %
Unknown 226 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 6%
Researcher 13 6%
Student > Master 13 6%
Student > Bachelor 13 6%
Lecturer 9 4%
Other 26 12%
Unknown 138 61%
Readers by discipline Count As %
Computer Science 54 24%
Engineering 8 4%
Nursing and Health Professions 4 2%
Unspecified 4 2%
Medicine and Dentistry 4 2%
Other 13 6%
Unknown 139 62%
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 02 July 2020.
All research outputs
#18,836,331
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#6,430
of 7,387 outputs
Outputs of similar age
#301,337
of 399,364 outputs
Outputs of similar age from BMC Bioinformatics
#113
of 127 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,387 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 399,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.