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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can Machines Think? Interaction and Perspective Taking with Robots Investigated via fMRI
|
|---|---|
| Published in |
PLOS ONE, July 2008
|
| DOI | 10.1371/journal.pone.0002597 |
| Pubmed ID | |
| Authors |
Sören Krach, Frank Hegel, Britta Wrede, Gerhard Sagerer, Ferdinand Binkofski, Tilo Kircher |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 5 | 29% |
| United Kingdom | 1 | 6% |
| Bosnia and Herzegovina | 1 | 6% |
| United States | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 8 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 71% |
| Scientists | 4 | 24% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 385 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 3% |
| Germany | 9 | 2% |
| Italy | 3 | <1% |
| Hungary | 2 | <1% |
| France | 2 | <1% |
| Australia | 2 | <1% |
| Japan | 2 | <1% |
| Brazil | 2 | <1% |
| Canada | 2 | <1% |
| Other | 9 | 2% |
| Unknown | 340 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 21% |
| Researcher | 64 | 17% |
| Student > Master | 56 | 15% |
| Student > Bachelor | 22 | 6% |
| Student > Doctoral Student | 20 | 5% |
| Other | 78 | 20% |
| Unknown | 65 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 128 | 33% |
| Computer Science | 53 | 14% |
| Neuroscience | 26 | 7% |
| Engineering | 21 | 5% |
| Social Sciences | 20 | 5% |
| Other | 64 | 17% |
| Unknown | 73 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 54. 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 18 June 2023.
All research outputs
#760,859
of 25,002,204 outputs
Outputs from PLOS ONE
#10,172
of 216,891 outputs
Outputs of similar age
#1,472
of 92,750 outputs
Outputs of similar age from PLOS ONE
#22
of 463 outputs
Altmetric has tracked 25,002,204 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 216,891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. 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 92,750 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 98% of its contemporaries.
We're also able to compare this research output to 463 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.