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格子ボルツマン法による自転車競技の集団走行の大規模LES空力解析

Overview of attention for article published in Transactions of the JSME (in Japanese), February 2019
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About this Attention Score

  • Among the highest-scoring outputs from this source (#47 of 550)
  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
9 Mendeley
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Title
格子ボルツマン法による自転車競技の集団走行の大規模LES空力解析
Published in
Transactions of the JSME (in Japanese), February 2019
DOI 10.1299/transjsme.18-00441
Authors

長谷川 雄太, 青木 尊之, 小林 宏充, 白﨑 啓太

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 3 33%
Unknown 3 33%
Readers by discipline Count As %
Engineering 2 22%
Energy 2 22%
Environmental Science 1 11%
Computer Science 1 11%
Unknown 3 33%
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 24 April 2020.
All research outputs
#14,396,821
of 25,385,509 outputs
Outputs from Transactions of the JSME (in Japanese)
#47
of 550 outputs
Outputs of similar age
#179,056
of 367,396 outputs
Outputs of similar age from Transactions of the JSME (in Japanese)
#3
of 6 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 550 research outputs from this source. They receive a mean Attention Score of 1.0. This one has done particularly well, scoring higher than 91% 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 367,396 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.