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.
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
Mendeley readers
Attention Score in Context
| Title |
The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness
|
|---|---|
| Published in |
Frontiers in Robotics and AI, November 2017
|
| DOI | 10.3389/frobt.2017.00060 |
| Authors |
Michael S. A. Graziano |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 14% |
| Germany | 2 | 9% |
| United States | 2 | 9% |
| Finland | 1 | 5% |
| Chile | 1 | 5% |
| France | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 11 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Scientists | 4 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 17% |
| Researcher | 14 | 16% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Other | 7 | 8% |
| Other | 13 | 15% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 16% |
| Psychology | 13 | 15% |
| Neuroscience | 12 | 14% |
| Social Sciences | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 18 | 21% |
| Unknown | 22 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 02 April 2024.
All research outputs
#1,228,659
of 25,165,468 outputs
Outputs from Frontiers in Robotics and AI
#82
of 1,739 outputs
Outputs of similar age
#24,438
of 332,093 outputs
Outputs of similar age from Frontiers in Robotics and AI
#3
of 24 outputs
Altmetric has tracked 25,165,468 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 1,739 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. 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 332,093 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 92% 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 91% of its contemporaries.