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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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Mentioned by

twitter
1 tweeter

Citations

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20 Dimensions

Readers on

mendeley
31 Mendeley
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

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 35%
Unspecified 6 19%
Professor > Associate Professor 3 10%
Student > Bachelor 2 6%
Student > Master 2 6%
Other 7 23%
Readers by discipline Count As %
Unspecified 12 39%
Materials Science 12 39%
Physics and Astronomy 3 10%
Engineering 3 10%
Computer Science 1 3%
Other 0 0%

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
#10,199,418
of 11,495,107 outputs
Outputs from npj Computational Materials
#103
of 115 outputs
Outputs of similar age
#219,176
of 260,947 outputs
Outputs of similar age from npj Computational Materials
#8
of 11 outputs
Altmetric has tracked 11,495,107 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 115 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 260,947 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.