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A Comparative Study in Classification Techniques for Unsupervised Record Linkage Model

Overview of attention for article published in Journal of Computer Science, March 2011
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 132)

Mentioned by

patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
29 Mendeley
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Title
A Comparative Study in Classification Techniques for Unsupervised Record Linkage Model
Published in
Journal of Computer Science, March 2011
DOI 10.3844/jcssp.2011.341.347
Authors

Ektefa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 52%
Student > Ph. D. Student 4 14%
Researcher 3 10%
Student > Postgraduate 2 7%
Lecturer 1 3%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Computer Science 21 72%
Business, Management and Accounting 2 7%
Nursing and Health Professions 1 3%
Linguistics 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 2 7%
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 15 November 2022.
All research outputs
#8,537,346
of 25,377,790 outputs
Outputs from Journal of Computer Science
#21
of 132 outputs
Outputs of similar age
#44,235
of 120,089 outputs
Outputs of similar age from Journal of Computer Science
#1
of 2 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 28th percentile – i.e., 28% 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 120,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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