| Title |
Enaction-Based Artificial Intelligence: Toward Co-evolution with Humans in the Loop
|
|---|---|
| Published in |
Minds and Machines, October 2009
|
| DOI | 10.1007/s11023-009-9165-3 |
| Authors |
Pierre De Loor, Kristen Manac’h, Jacques Tisseau |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 5 | 6% |
| Germany | 3 | 4% |
| Netherlands | 1 | 1% |
| Pakistan | 1 | 1% |
| Brazil | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 70 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 18% |
| Researcher | 12 | 15% |
| Student > Ph. D. Student | 12 | 15% |
| Professor | 7 | 9% |
| Other | 6 | 7% |
| Other | 18 | 22% |
| Unknown | 12 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 40% |
| Philosophy | 8 | 10% |
| Agricultural and Biological Sciences | 6 | 7% |
| Engineering | 4 | 5% |
| Social Sciences | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 12 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 09 March 2014.
All research outputs
#7,298,724
of 23,906,448 outputs
Outputs from Minds and Machines
#134
of 323 outputs
Outputs of similar age
#32,580
of 96,194 outputs
Outputs of similar age from Minds and Machines
#1
of 2 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 323 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 gotten more attention than average, scoring higher than 58% 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 96,194 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 66% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them