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X Demographics
Mendeley readers
Attention Score in Context
| Title |
因子分析モデルにおける因子回転問題
|
|---|---|
| Published in |
Bulletin of the Computational Statistics of Japan, July 2020
|
| DOI | 10.20551/jscswabun.32.1_21 |
| Authors |
山本 倫生 |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 42% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 31 December 2021.
All research outputs
#4,776,699
of 25,722,279 outputs
Outputs from Bulletin of the Computational Statistics of Japan
#2
of 17 outputs
Outputs of similar age
#113,404
of 433,527 outputs
Outputs of similar age from Bulletin of the Computational Statistics of Japan
#1
of 2 outputs
Altmetric has tracked 25,722,279 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17 research outputs from this source. They receive a mean Attention Score of 4.1. This one scored the same or higher as 15 of them.
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 433,527 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 73% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them