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Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm

Overview of attention for article published in Journal of Classification, June 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
25 Mendeley
Title
Accurate Tree-based Missing Data Imputation and Data Fusion within the Statistical Learning Paradigm
Published in
Journal of Classification, June 2012
DOI 10.1007/s00357-012-9108-1
Authors

Antonio D’Ambrosio, Massimo Aria, Roberta Siciliano

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Student > Ph. D. Student 4 16%
Professor > Associate Professor 3 12%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 4 16%
Unknown 5 20%
Readers by discipline Count As %
Engineering 6 24%
Mathematics 3 12%
Computer Science 3 12%
Social Sciences 3 12%
Business, Management and Accounting 1 4%
Other 5 20%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 January 2015.
All research outputs
#7,550,194
of 23,033,713 outputs
Outputs from Journal of Classification
#31
of 94 outputs
Outputs of similar age
#55,060
of 165,365 outputs
Outputs of similar age from Journal of Classification
#1
of 1 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 94 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 40th percentile – i.e., 40% 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 165,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them