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MPS法の疑似圧縮型ソース項の改良

Overview of attention for article published in Transactions of the Japan Society for Computational Engineering and Science, April 2020
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Title
MPS法の疑似圧縮型ソース項の改良
Published in
Transactions of the Japan Society for Computational Engineering and Science, April 2020
DOI 10.11421/jsces.2020.20200007
Authors

入部 綱清, 永井 邦憲, Mostafizur Rahman

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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 02 May 2020.
All research outputs
#17,637,892
of 25,852,155 outputs
Outputs from Transactions of the Japan Society for Computational Engineering and Science
#8
of 18 outputs
Outputs of similar age
#265,227
of 410,235 outputs
Outputs of similar age from Transactions of the Japan Society for Computational Engineering and Science
#1
of 1 outputs
Altmetric has tracked 25,852,155 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 10 of them.
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 410,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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