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Automatic Feature Extraction for Classifying Audio Data

Overview of attention for article published in Machine Learning, February 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page
q&a
1 Q&A thread

Citations

dimensions_citation
109 Dimensions

Readers on

mendeley
184 Mendeley
citeulike
3 CiteULike
Title
Automatic Feature Extraction for Classifying Audio Data
Published in
Machine Learning, February 2005
DOI 10.1007/s10994-005-5824-7
Authors

Ingo Mierswa, Katharina Morik

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 4 2%
Germany 3 2%
France 2 1%
Portugal 2 1%
India 2 1%
Austria 2 1%
Italy 1 <1%
Turkey 1 <1%
Other 4 2%
Unknown 159 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 25%
Student > Master 42 23%
Student > Bachelor 23 13%
Researcher 21 11%
Other 10 5%
Other 25 14%
Unknown 17 9%
Readers by discipline Count As %
Computer Science 98 53%
Engineering 32 17%
Business, Management and Accounting 4 2%
Mathematics 4 2%
Physics and Astronomy 4 2%
Other 21 11%
Unknown 21 11%
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 28 October 2017.
All research outputs
#5,541,528
of 22,815,414 outputs
Outputs from Machine Learning
#179
of 964 outputs
Outputs of similar age
#26,605
of 141,364 outputs
Outputs of similar age from Machine Learning
#3
of 5 outputs
Altmetric has tracked 22,815,414 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 964 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 81% 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 141,364 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% 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 2 of them.