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Generic entity resolution with negative rules

Overview of attention for article published in The VLDB Journal — The International Journal on Very Large Data Bases, February 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 113)
  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
29 Mendeley
Title
Generic entity resolution with negative rules
Published in
The VLDB Journal — The International Journal on Very Large Data Bases, February 2009
DOI 10.1007/s00778-009-0136-3
Authors

Steven Euijong Whang, Omar Benjelloun, Hector Garcia-Molina

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 %
United States 2 7%
Germany 1 3%
Portugal 1 3%
Spain 1 3%
Unknown 24 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Researcher 5 17%
Student > Master 5 17%
Other 2 7%
Student > Postgraduate 2 7%
Other 4 14%
Readers by discipline Count As %
Computer Science 26 90%
Engineering 2 7%
Unspecified 1 3%

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 24 February 2015.
All research outputs
#2,721,372
of 10,083,283 outputs
Outputs from The VLDB Journal — The International Journal on Very Large Data Bases
#21
of 113 outputs
Outputs of similar age
#37,286
of 113,856 outputs
Outputs of similar age from The VLDB Journal — The International Journal on Very Large Data Bases
#1
of 1 outputs
Altmetric has tracked 10,083,283 research outputs across all sources so far. This one has received more attention than most of these and is in the 55th percentile.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 18th percentile – i.e., 18% 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 113,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
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