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Attention Score in Context
| Title |
Bayes流予測モデル診断法の性能評価
|
|---|---|
| Published in |
Bulletin of the Computational Statistics of Japan, May 2017
|
| DOI | 10.20551/jscswabun.25.1_1 |
| Authors |
五十川 直樹, 坂本 亘, 後藤 昌司 |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 24 May 2020.
All research outputs
#16,554,411
of 24,357,902 outputs
Outputs from Bulletin of the Computational Statistics of Japan
#1
of 1 outputs
Outputs of similar age
#199,766
of 314,677 outputs
Outputs of similar age from Bulletin of the Computational Statistics of Japan
#1
of 1 outputs
Altmetric has tracked 24,357,902 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 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 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 314,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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