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SICA: subjectively interesting component analysis

Overview of attention for article published in Data Mining and Knowledge Discovery, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
24 Mendeley
Title
SICA: subjectively interesting component analysis
Published in
Data Mining and Knowledge Discovery, March 2018
DOI 10.1007/s10618-018-0558-x
Authors

Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, Tijl De Bie

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 6 25%
Professor 2 8%
Student > Bachelor 2 8%
Other 1 4%
Other 1 4%
Unknown 6 25%
Readers by discipline Count As %
Computer Science 15 63%
Business, Management and Accounting 1 4%
Psychology 1 4%
Medicine and Dentistry 1 4%
Unknown 6 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 June 2019.
All research outputs
#7,192,283
of 26,017,215 outputs
Outputs from Data Mining and Knowledge Discovery
#131
of 656 outputs
Outputs of similar age
#117,574
of 352,498 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#4
of 13 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 656 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done well, scoring higher than 80% 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 352,498 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 66% 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 has gotten more attention than average, scoring higher than 69% of its contemporaries.