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Ultra-large-scale phase-field simulation study of ideal grain growth

Overview of attention for article published in npj Computational Materials, July 2017
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1 X user

Citations

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88 Dimensions

Readers on

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77 Mendeley
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Title
Ultra-large-scale phase-field simulation study of ideal grain growth
Published in
npj Computational Materials, July 2017
DOI 10.1038/s41524-017-0029-8
Authors

Eisuke Miyoshi, Tomohiro Takaki, Munekazu Ohno, Yasushi Shibuta, Shinji Sakane, Takashi Shimokawabe, Takayuki Aoki

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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 27%
Researcher 12 16%
Student > Master 6 8%
Professor > Associate Professor 5 6%
Student > Doctoral Student 5 6%
Other 10 13%
Unknown 18 23%
Readers by discipline Count As %
Materials Science 30 39%
Engineering 8 10%
Physics and Astronomy 4 5%
Agricultural and Biological Sciences 2 3%
Computer Science 2 3%
Other 2 3%
Unknown 29 38%
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 20 July 2017.
All research outputs
#20,431,953
of 22,985,065 outputs
Outputs from npj Computational Materials
#789
of 873 outputs
Outputs of similar age
#273,617
of 313,820 outputs
Outputs of similar age from npj Computational Materials
#9
of 11 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 873 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 1st percentile – i.e., 1% 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 313,820 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.