Title |
Using Human–Computer Interfaces to Investigate ‘Mind-As-It-Could-Be’ from the First-Person Perspective
|
---|---|
Published in |
Cognitive Computation, June 2012
|
DOI | 10.1007/s12559-012-9153-4 |
Authors |
Tom Froese, Keisuke Suzuki, Yuta Ogai, Takashi Ikegami |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 20% |
Mexico | 1 | 20% |
Netherlands | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 3% |
Netherlands | 1 | 1% |
Australia | 1 | 1% |
France | 1 | 1% |
United Kingdom | 1 | 1% |
United States | 1 | 1% |
Unknown | 65 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 22% |
Researcher | 10 | 14% |
Student > Doctoral Student | 6 | 8% |
Student > Bachelor | 6 | 8% |
Student > Master | 5 | 7% |
Other | 13 | 18% |
Unknown | 16 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 25% |
Psychology | 12 | 17% |
Engineering | 10 | 14% |
Medicine and Dentistry | 3 | 4% |
Social Sciences | 2 | 3% |
Other | 10 | 14% |
Unknown | 17 | 24% |
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 05 June 2012.
All research outputs
#6,810,217
of 22,668,244 outputs
Outputs from Cognitive Computation
#54
of 411 outputs
Outputs of similar age
#48,875
of 165,316 outputs
Outputs of similar age from Cognitive Computation
#2
of 16 outputs
Altmetric has tracked 22,668,244 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 411 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 86% 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 165,316 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 70% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.