The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Active inference, morphogenesis, and computational psychiatry
|
---|---|
Published in |
Frontiers in Computational Neuroscience, November 2022
|
DOI | 10.3389/fncom.2022.988977 |
Pubmed ID | |
Authors |
Léo Pio-Lopez, Franz Kuchling, Angela Tung, Giovanni Pezzulo, Michael Levin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 10% |
United Kingdom | 1 | 3% |
Thailand | 1 | 3% |
Unknown | 24 | 83% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 21 | 72% |
Scientists | 7 | 24% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 30% |
Unspecified | 2 | 7% |
Student > Ph. D. Student | 2 | 7% |
Professor | 2 | 7% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 3 | 11% |
Unknown | 9 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 4 | 15% |
Unspecified | 2 | 7% |
Physics and Astronomy | 2 | 7% |
Neuroscience | 2 | 7% |
Computer Science | 2 | 7% |
Other | 5 | 19% |
Unknown | 10 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 20 April 2024.
All research outputs
#1,967,218
of 25,791,495 outputs
Outputs from Frontiers in Computational Neuroscience
#71
of 1,475 outputs
Outputs of similar age
#41,650
of 492,320 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#1
of 37 outputs
Altmetric has tracked 25,791,495 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 95% 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 492,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 37 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 97% of its contemporaries.