The data shown below were collected from the profiles of 27 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.
X Demographics
Attention Score in Context
| Title |
Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference
|
|---|---|
| Published in |
Frontiers in Robotics and AI, July 2024
|
| DOI | 10.3389/frobt.2024.1353870 |
| Pubmed ID | |
| Authors |
Tadahiro Taniguchi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 67% |
| Scientists | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 25 August 2024.
All research outputs
#2,701,926
of 26,549,961 outputs
Outputs from Frontiers in Robotics and AI
#165
of 1,836 outputs
Outputs of similar age
#25,317
of 247,925 outputs
Outputs of similar age from Frontiers in Robotics and AI
#1
of 31 outputs
Altmetric has tracked 26,549,961 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,836 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done particularly well, scoring higher than 91% 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 247,925 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 31 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 96% of its contemporaries.