The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Anatomy of Inference: Generative Models and Brain Structure
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, November 2018
|
| DOI | 10.3389/fncom.2018.00090 |
| Pubmed ID | |
| Authors |
Thomas Parr, Karl J. Friston |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 18% |
| United Kingdom | 2 | 9% |
| Netherlands | 1 | 5% |
| Switzerland | 1 | 5% |
| Spain | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 12 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Scientists | 5 | 23% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 211 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 20% |
| Researcher | 32 | 15% |
| Student > Master | 21 | 10% |
| Student > Bachelor | 18 | 9% |
| Other | 12 | 6% |
| Other | 36 | 17% |
| Unknown | 50 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 47 | 22% |
| Psychology | 36 | 17% |
| Computer Science | 12 | 6% |
| Engineering | 10 | 5% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 31 | 15% |
| Unknown | 70 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 February 2024.
All research outputs
#1,086,370
of 26,402,896 outputs
Outputs from Frontiers in Computational Neuroscience
#41
of 1,495 outputs
Outputs of similar age
#21,865
of 358,440 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#1
of 24 outputs
Altmetric has tracked 26,402,896 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% 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 particularly well, scoring higher than 97% 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 358,440 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 93% of its contemporaries.
We're also able to compare this research output to 24 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 95% of its contemporaries.