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A new unsupervised method for document clustering by using WordNet lexical and conceptual relations

Overview of attention for article published in Information Retrieval Journal, October 2007
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Mentioned by

patent
2 patents

Citations

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43 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
3 CiteULike
Title
A new unsupervised method for document clustering by using WordNet lexical and conceptual relations
Published in
Information Retrieval Journal, October 2007
DOI 10.1007/s10791-007-9035-7
Authors

Diego Reforgiato Recupero

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Turkey 1 2%
Netherlands 1 2%
Austria 1 2%
Brazil 1 2%
Spain 1 2%
United States 1 2%
Unknown 38 84%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 29%
Student > Ph. D. Student 10 22%
Lecturer 6 13%
Professor > Associate Professor 4 9%
Student > Doctoral Student 2 4%
Other 7 16%
Unknown 3 7%
Readers by discipline Count As %
Computer Science 26 58%
Business, Management and Accounting 5 11%
Linguistics 4 9%
Mathematics 1 2%
Psychology 1 2%
Other 2 4%
Unknown 6 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 21 January 2020.
All research outputs
#8,064,660
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#60
of 184 outputs
Outputs of similar age
#26,684
of 74,864 outputs
Outputs of similar age from Information Retrieval Journal
#1
of 1 outputs
Altmetric has tracked 24,217,893 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 184 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 33rd percentile – i.e., 33% 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 74,864 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 1 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