↓ Skip to main content

Using Human–Computer Interfaces to Investigate ‘Mind-As-It-Could-Be’ from the First-Person Perspective

Overview of attention for article published in Cognitive Computation, June 2012
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#14 of 330)
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
52 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 4%
United Kingdom 1 2%
Australia 1 2%
France 1 2%
Argentina 1 2%
Netherlands 1 2%
United States 1 2%
Unknown 44 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 27%
Researcher 10 19%
Student > Master 5 10%
Student > Bachelor 4 8%
Student > Doctoral Student 4 8%
Other 10 19%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 17 33%
Psychology 10 19%
Engineering 9 17%
Arts and Humanities 3 6%
Physics and Astronomy 1 2%
Other 6 12%
Unknown 6 12%

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
#3,011,502
of 11,627,462 outputs
Outputs from Cognitive Computation
#14
of 330 outputs
Outputs of similar age
#26,647
of 109,119 outputs
Outputs of similar age from Cognitive Computation
#1
of 16 outputs
Altmetric has tracked 11,627,462 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 330 research outputs from this source. They receive a mean Attention Score of 1.2. 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 109,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% 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 particularly well, scoring higher than 93% of its contemporaries.