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Subquadratic Algorithms for 3SUM

Overview of attention for article published in Algorithmica, September 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

wikipedia
3 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
26 Mendeley
Title
Subquadratic Algorithms for 3SUM
Published in
Algorithmica, September 2007
DOI 10.1007/s00453-007-9036-3
Authors

Ilya Baran, Erik D. Demaine, Mihai Pǎtraşcu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
Spain 1 4%
United States 1 4%
Canada 1 4%
Unknown 22 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 31%
Student > Master 5 19%
Student > Bachelor 3 12%
Researcher 3 12%
Professor > Associate Professor 2 8%
Other 4 15%
Unknown 1 4%
Readers by discipline Count As %
Computer Science 19 73%
Environmental Science 1 4%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Other 1 4%
Unknown 2 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 18 April 2024.
All research outputs
#5,504,362
of 22,662,201 outputs
Outputs from Algorithmica
#55
of 417 outputs
Outputs of similar age
#19,851
of 69,856 outputs
Outputs of similar age from Algorithmica
#1
of 13 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 417 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 85% of its peers.
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 69,856 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 71% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.