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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The two-brain approach: how can mutually interacting brains teach us something about social interaction?
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, January 2012
|
| DOI | 10.3389/fnhum.2012.00215 |
| Pubmed ID | |
| Authors |
Ivana Konvalinka, Andreas Roepstorff |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Mexico | 1 | 11% |
| South Africa | 1 | 11% |
| Japan | 1 | 11% |
| Denmark | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 2 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Scientists | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 576 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 1% |
| United States | 5 | <1% |
| Spain | 4 | <1% |
| Japan | 3 | <1% |
| Finland | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Netherlands | 2 | <1% |
| Turkey | 2 | <1% |
| Other | 11 | 2% |
| Unknown | 535 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 129 | 22% |
| Researcher | 104 | 18% |
| Student > Master | 83 | 14% |
| Student > Bachelor | 51 | 9% |
| Student > Doctoral Student | 27 | 5% |
| Other | 96 | 17% |
| Unknown | 86 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 219 | 38% |
| Neuroscience | 70 | 12% |
| Agricultural and Biological Sciences | 32 | 6% |
| Computer Science | 26 | 5% |
| Engineering | 26 | 5% |
| Other | 85 | 15% |
| Unknown | 118 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 15 March 2024.
All research outputs
#1,697,488
of 25,494,370 outputs
Outputs from Frontiers in Human Neuroscience
#775
of 7,713 outputs
Outputs of similar age
#11,339
of 250,483 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#43
of 293 outputs
Altmetric has tracked 25,494,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,713 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 89% 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 250,483 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 95% of its contemporaries.
We're also able to compare this research output to 293 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.