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Limited Memory Block Preconditioners for Fast Solution of Fractional Partial Differential Equations

Overview of attention for article published in Journal of Scientific Computing, May 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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1 X user

Citations

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15 Dimensions

Readers on

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3 Mendeley
Title
Limited Memory Block Preconditioners for Fast Solution of Fractional Partial Differential Equations
Published in
Journal of Scientific Computing, May 2018
DOI 10.1007/s10915-018-0729-3
Authors

Daniele Bertaccini, Fabio Durastante

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unknown 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 26 May 2018.
All research outputs
#15,524,695
of 23,073,835 outputs
Outputs from Journal of Scientific Computing
#79
of 751 outputs
Outputs of similar age
#207,446
of 325,599 outputs
Outputs of similar age from Journal of Scientific Computing
#2
of 8 outputs
Altmetric has tracked 23,073,835 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 751 research outputs from this source. They receive a mean Attention Score of 0.8. This one has gotten more attention than average, scoring higher than 59% 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 325,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.