The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
X Demographics
Attention Score in Context
Title |
Anomalous diffusion in a randomly modulated velocity field
|
---|---|
Published in |
Communications in Nonlinear Science & Numerical Simulation, October 2023
|
DOI | 10.1016/j.cnsns.2023.107342 |
Authors |
Noriaki Aibara, Naoaki Fujimoto, So Katagiri, Yutaka Matsuo, Yoshiki Matsuoka, Akio Sugamoto, Ken Yokoyama, Tsukasa Yumibayashi |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 12 | 41% |
Korea, Republic of | 1 | 3% |
Unknown | 16 | 55% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 93% |
Scientists | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 13 June 2023.
All research outputs
#2,336,473
of 26,173,059 outputs
Outputs from Communications in Nonlinear Science & Numerical Simulation
#12
of 948 outputs
Outputs of similar age
#39,288
of 365,912 outputs
Outputs of similar age from Communications in Nonlinear Science & Numerical Simulation
#2
of 27 outputs
Altmetric has tracked 26,173,059 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 948 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done particularly well, scoring higher than 98% 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 365,912 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.