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Classifying web documents in a hierarchy of categories: a comprehensive study

Overview of attention for article published in Journal of Intelligent Information Systems, January 2007
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About this Attention Score

  • Among the highest-scoring outputs from this source (#45 of 180)

Mentioned by

patent
1 patent

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
92 Mendeley
Title
Classifying web documents in a hierarchy of categories: a comprehensive study
Published in
Journal of Intelligent Information Systems, January 2007
DOI 10.1007/s10844-006-0003-2
Authors

Michelangelo Ceci, Donato Malerba

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Italy 2 2%
United Kingdom 1 1%
Australia 1 1%
Japan 1 1%
Taiwan 1 1%
Unknown 81 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 16 17%
Researcher 12 13%
Other 8 9%
Student > Postgraduate 6 7%
Other 22 24%
Unknown 9 10%
Readers by discipline Count As %
Computer Science 51 55%
Arts and Humanities 12 13%
Social Sciences 5 5%
Mathematics 3 3%
Agricultural and Biological Sciences 3 3%
Other 6 7%
Unknown 12 13%
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 17 September 2013.
All research outputs
#7,561,502
of 23,065,445 outputs
Outputs from Journal of Intelligent Information Systems
#45
of 180 outputs
Outputs of similar age
#43,667
of 160,979 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 7 outputs
Altmetric has tracked 23,065,445 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 180 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 37th percentile – i.e., 37% 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 160,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 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