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SICE: an improved missing data imputation technique

Overview of attention for article published in Journal of Big Data, June 2020
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Mentioned by

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2 X users

Citations

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123 Dimensions

Readers on

mendeley
257 Mendeley
Title
SICE: an improved missing data imputation technique
Published in
Journal of Big Data, June 2020
DOI 10.1186/s40537-020-00313-w
Pubmed ID
Authors

Shahidul Islam Khan, Abu Sayed Md Latiful Hoque

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 11%
Student > Master 26 10%
Lecturer 21 8%
Researcher 19 7%
Student > Doctoral Student 12 5%
Other 40 16%
Unknown 110 43%
Readers by discipline Count As %
Computer Science 49 19%
Engineering 15 6%
Medicine and Dentistry 10 4%
Social Sciences 8 3%
Mathematics 8 3%
Other 53 21%
Unknown 114 44%
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 30 May 2021.
All research outputs
#15,612,741
of 23,213,531 outputs
Outputs from Journal of Big Data
#207
of 348 outputs
Outputs of similar age
#249,525
of 399,175 outputs
Outputs of similar age from Journal of Big Data
#10
of 14 outputs
Altmetric has tracked 23,213,531 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 348 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 25th percentile – i.e., 25% 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 399,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.