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微分方程式の縮約と包絡線―くりこみ群法の幾何学的解釈と不変多様体の構成 (解説)

Overview of attention for article published in Butsuri, January 2020
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2 X users

Readers on

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2 Mendeley
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Title
微分方程式の縮約と包絡線―くりこみ群法の幾何学的解釈と不変多様体の構成 (解説)
Published in
Butsuri, January 2020
DOI 10.11316/butsuri.65.9_683
Authors

国広 悌二

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Student > Ph. D. Student 1 50%
Readers by discipline Count As %
Physics and Astronomy 2 100%
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 27 December 2023.
All research outputs
#17,637,892
of 25,852,155 outputs
Outputs from Butsuri
#570
of 813 outputs
Outputs of similar age
#304,172
of 482,107 outputs
Outputs of similar age from Butsuri
#8
of 14 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 813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 14th percentile – i.e., 14% 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 482,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.