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Fractional cascading: I. A data structuring technique

Overview of attention for article published in Algorithmica, November 1986
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 420)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
4 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
288 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
Title
Fractional cascading: I. A data structuring technique
Published in
Algorithmica, November 1986
DOI 10.1007/bf01840440
Authors

Bernard Chazelle, Leonidas J. Guibas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 5%
United States 2 5%
Spain 1 2%
Germany 1 2%
Unknown 36 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 31%
Student > Master 7 17%
Researcher 5 12%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 6 14%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 26 62%
Mathematics 4 10%
Unspecified 1 2%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Other 1 2%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 07 August 2022.
All research outputs
#3,319,384
of 23,049,027 outputs
Outputs from Algorithmica
#19
of 420 outputs
Outputs of similar age
#643
of 11,818 outputs
Outputs of similar age from Algorithmica
#2
of 6 outputs
Altmetric has tracked 23,049,027 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 420 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 11,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.