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The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data

Overview of attention for article published in Knowledge-Based Systems, September 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

patent
4 patents

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
217 Mendeley
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Title
The effect of principal component analysis on machine learning accuracy with high-dimensional spectral data
Published in
Knowledge-Based Systems, September 2006
DOI 10.1016/j.knosys.2005.11.014
Authors

Tom Howley, Michael G. Madden, Marie-Louise O’Connell, Alan G. Ryder

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 217 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Spain 2 <1%
Portugal 1 <1%
South Africa 1 <1%
Malaysia 1 <1%
Denmark 1 <1%
Australia 1 <1%
Unknown 208 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 24%
Student > Master 34 16%
Student > Bachelor 24 11%
Researcher 23 11%
Student > Doctoral Student 8 4%
Other 34 16%
Unknown 43 20%
Readers by discipline Count As %
Computer Science 52 24%
Engineering 38 18%
Chemistry 14 6%
Mathematics 10 5%
Agricultural and Biological Sciences 7 3%
Other 46 21%
Unknown 50 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 20 June 2023.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Knowledge-Based Systems
#89
of 1,812 outputs
Outputs of similar age
#15,813
of 89,592 outputs
Outputs of similar age from Knowledge-Based Systems
#1
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,812 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 92% 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 89,592 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 71% of its contemporaries.
We're also able to compare this research output to 5 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