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Refinements to nearest-neighbor searching ink-dimensional trees

Overview of attention for article published in Algorithmica, June 1991
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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 (#35 of 420)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
265 Dimensions

Readers on

mendeley
109 Mendeley
Title
Refinements to nearest-neighbor searching ink-dimensional trees
Published in
Algorithmica, June 1991
DOI 10.1007/bf01759061
Authors

Robert F. Sproull

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
Switzerland 1 <1%
Austria 1 <1%
Portugal 1 <1%
United Kingdom 1 <1%
India 1 <1%
Singapore 1 <1%
United States 1 <1%
Unknown 100 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Researcher 21 19%
Student > Master 17 16%
Student > Bachelor 11 10%
Lecturer 5 5%
Other 15 14%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 46 42%
Engineering 24 22%
Mathematics 4 4%
Physics and Astronomy 4 4%
Environmental Science 4 4%
Other 10 9%
Unknown 17 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 11 June 2013.
All research outputs
#4,769,456
of 23,072,295 outputs
Outputs from Algorithmica
#35
of 420 outputs
Outputs of similar age
#2,069
of 17,770 outputs
Outputs of similar age from Algorithmica
#1
of 4 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 76th 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 well, scoring higher than 87% 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 17,770 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 74% of its contemporaries.
We're also able to compare this research output to 4 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