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Survey on categorical data for neural networks

Overview of attention for article published in Journal of Big Data, April 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
patent
2 patents

Citations

dimensions_citation
267 Dimensions

Readers on

mendeley
446 Mendeley
Title
Survey on categorical data for neural networks
Published in
Journal of Big Data, April 2020
DOI 10.1186/s40537-020-00305-w
Authors

John T. Hancock, Taghi M. Khoshgoftaar

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

Geographical breakdown

Country Count As %
Unknown 446 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 53 12%
Student > Master 44 10%
Student > Bachelor 31 7%
Researcher 22 5%
Student > Doctoral Student 17 4%
Other 51 11%
Unknown 228 51%
Readers by discipline Count As %
Computer Science 78 17%
Engineering 46 10%
Business, Management and Accounting 14 3%
Social Sciences 8 2%
Economics, Econometrics and Finance 6 1%
Other 48 11%
Unknown 246 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 February 2023.
All research outputs
#6,585,588
of 23,299,593 outputs
Outputs from Journal of Big Data
#110
of 351 outputs
Outputs of similar age
#130,834
of 373,601 outputs
Outputs of similar age from Journal of Big Data
#6
of 13 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 67% of its peers.
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 373,601 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.