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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ネオ・サイバネティクスの理論に依拠した人工知能の倫理的問題の基礎づけ
|
|---|---|
| Published in |
Socio-Informatics, February 2017
|
| DOI | 10.14836/ssi.5.2_53 |
| Authors |
河島 茂生 |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 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 % |
|---|---|---|
| Researcher | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 May 2018.
All research outputs
#8,293,187
of 25,651,057 outputs
Outputs from Socio-Informatics
#15
of 59 outputs
Outputs of similar age
#143,584
of 426,601 outputs
Outputs of similar age from Socio-Informatics
#1
of 3 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 59 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.6. This one has gotten more attention than average, scoring higher than 74% 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 426,601 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 66% of its contemporaries.
We're also able to compare this research output to 3 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