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Incomplete Cross Approximation in the Mosaic-Skeleton Method

Overview of attention for article published in Computing, June 2000
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
57 Mendeley
Title
Incomplete Cross Approximation in the Mosaic-Skeleton Method
Published in
Computing, June 2000
DOI 10.1007/s006070070031
Authors

E. Tyrtyshnikov

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
New Zealand 1 2%
Germany 1 2%
Italy 1 2%
Unknown 52 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 37%
Researcher 13 23%
Student > Master 7 12%
Professor 4 7%
Other 3 5%
Other 6 11%
Unknown 3 5%
Readers by discipline Count As %
Mathematics 13 23%
Computer Science 12 21%
Engineering 10 18%
Physics and Astronomy 6 11%
Chemistry 4 7%
Other 5 9%
Unknown 7 12%
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 04 February 2018.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Computing
#58
of 233 outputs
Outputs of similar age
#13,330
of 39,990 outputs
Outputs of similar age from Computing
#1
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 38th percentile – i.e., 38% 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 39,990 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% 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 all of them