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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Active Inference Approach to Modeling Structure Learning: Concept Learning as an Example Case
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, May 2020
|
| DOI | 10.3389/fncom.2020.00041 |
| Pubmed ID | |
| Authors |
Ryan Smith, Philipp Schwartenbeck, Thomas Parr, Karl J. Friston |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 63% |
| Scientists | 5 | 31% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 9 | 13% |
| Student > Bachelor | 8 | 11% |
| Student > Master | 4 | 6% |
| Other | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 14% |
| Psychology | 10 | 14% |
| Neuroscience | 9 | 13% |
| Social Sciences | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 11 | 16% |
| Unknown | 24 | 34% |
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 27 July 2023.
All research outputs
#5,012,780
of 26,377,159 outputs
Outputs from Frontiers in Computational Neuroscience
#218
of 1,495 outputs
Outputs of similar age
#115,389
of 427,775 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#6
of 28 outputs
Altmetric has tracked 26,377,159 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,495 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 85% 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 427,775 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 72% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.