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The pairing heap: A new form of self-adjusting heap

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
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

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

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
Title
The pairing heap: A new form of self-adjusting heap
Published in
Algorithmica, November 1986
DOI 10.1007/bf01840439
Authors

Michael L. Fredman, Robert Sedgewick, Daniel D. Sleator, Robert E. Tarjan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 2 3%
India 1 2%
Spain 1 2%
Unknown 55 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 31%
Student > Master 9 15%
Student > Postgraduate 5 8%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 13 21%
Unknown 7 11%
Readers by discipline Count As %
Computer Science 37 61%
Mathematics 4 7%
Engineering 4 7%
Environmental Science 2 3%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 10 16%
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 13 April 2018.
All research outputs
#5,504,362
of 22,662,201 outputs
Outputs from Algorithmica
#55
of 417 outputs
Outputs of similar age
#2,790
of 11,700 outputs
Outputs of similar age from Algorithmica
#5
of 6 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 11,700 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% 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.