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A survey on missing data in machine learning

Overview of attention for article published in Journal of Big Data, October 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
274 Dimensions

Readers on

mendeley
583 Mendeley
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Title
A survey on missing data in machine learning
Published in
Journal of Big Data, October 2021
DOI 10.1186/s40537-021-00516-9
Pubmed ID
Authors

Tlamelo Emmanuel, Thabiso Maupong, Dimane Mpoeleng, Thabo Semong, Banyatsang Mphago, Oteng Tabona

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

Geographical breakdown

Country Count As %
Unknown 583 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 10%
Student > Ph. D. Student 52 9%
Researcher 27 5%
Student > Bachelor 22 4%
Lecturer 21 4%
Other 76 13%
Unknown 329 56%
Readers by discipline Count As %
Computer Science 85 15%
Engineering 41 7%
Business, Management and Accounting 17 3%
Unspecified 15 3%
Mathematics 11 2%
Other 74 13%
Unknown 340 58%
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 16 January 2024.
All research outputs
#17,136,019
of 25,175,727 outputs
Outputs from Journal of Big Data
#235
of 379 outputs
Outputs of similar age
#260,097
of 435,854 outputs
Outputs of similar age from Journal of Big Data
#4
of 7 outputs
Altmetric has tracked 25,175,727 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 22nd percentile – i.e., 22% 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 435,854 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.