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Automating the Design of Data Mining Algorithms

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Automating the Design of Data Mining Algorithms
Published by
ADS, January 2010
DOI 10.1007/978-3-642-02541-9
ISBNs
978-3-64-202540-2, 978-3-64-202541-9
Authors

Gisele L. Pappa, Alex Freitas, Pappa, Gisele L., Freitas, Alex

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Netherlands 1 3%
Brazil 1 3%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 31%
Student > Master 5 13%
Student > Doctoral Student 4 10%
Researcher 3 8%
Professor 2 5%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 18 46%
Economics, Econometrics and Finance 3 8%
Engineering 3 8%
Linguistics 1 3%
Mathematics 1 3%
Other 2 5%
Unknown 11 28%
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 26 August 2020.
All research outputs
#7,541,526
of 23,007,887 outputs
Outputs from ADS
#9,307
of 37,438 outputs
Outputs of similar age
#48,808
of 164,903 outputs
Outputs of similar age from ADS
#272
of 795 outputs
Altmetric has tracked 23,007,887 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 37,438 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% 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 164,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 795 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.