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Imputation techniques on missing values in breast cancer treatment and fertility data

Overview of attention for article published in Health Information Science and Systems, October 2019
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

mendeley
47 Mendeley
Title
Imputation techniques on missing values in breast cancer treatment and fertility data
Published in
Health Information Science and Systems, October 2019
DOI 10.1007/s13755-019-0082-4
Pubmed ID
Authors

Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib, Michelle Peate

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

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Student > Ph. D. Student 5 11%
Student > Bachelor 5 11%
Lecturer 3 6%
Researcher 3 6%
Other 6 13%
Unknown 17 36%
Readers by discipline Count As %
Computer Science 10 21%
Mathematics 4 9%
Engineering 3 6%
Medicine and Dentistry 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 7 15%
Unknown 18 38%
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 18 October 2019.
All research outputs
#15,583,959
of 23,168,000 outputs
Outputs from Health Information Science and Systems
#51
of 97 outputs
Outputs of similar age
#216,034
of 350,296 outputs
Outputs of similar age from Health Information Science and Systems
#2
of 3 outputs
Altmetric has tracked 23,168,000 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 97 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 39th percentile – i.e., 39% 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 350,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.