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Locality-preserving hash functions for general purpose parallel computation

Overview of attention for article published in Algorithmica, September 1994
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
19 Mendeley
citeulike
2 CiteULike
Title
Locality-preserving hash functions for general purpose parallel computation
Published in
Algorithmica, September 1994
DOI 10.1007/bf01185209
Authors

A. Chin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Chile 1 5%
Austria 1 5%
India 1 5%
United Kingdom 1 5%
Spain 1 5%
Unknown 13 68%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 4 21%
Student > Master 3 16%
Student > Doctoral Student 2 11%
Professor > Associate Professor 2 11%
Other 3 16%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 15 79%
Environmental Science 1 5%
Mathematics 1 5%
Engineering 1 5%
Unknown 1 5%
Attention Score in Context

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 13 April 2024.
All research outputs
#7,714,942
of 23,460,553 outputs
Outputs from Algorithmica
#80
of 424 outputs
Outputs of similar age
#6,365
of 21,855 outputs
Outputs of similar age from Algorithmica
#2
of 4 outputs
Altmetric has tracked 23,460,553 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 28th percentile – i.e., 28% 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 21,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
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 2 of them.