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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deconstructing Insight: EEG Correlates of Insightful Problem Solving
|
|---|---|
| Published in |
PLOS ONE, January 2008
|
| DOI | 10.1371/journal.pone.0001459 |
| Pubmed ID | |
| Authors |
Simone Sandkühler, Joydeep Bhattacharya |
| Abstract |
Cognitive insight phenomenon lies at the core of numerous discoveries. Behavioral research indicates four salient features of insightful problem solving: (i) mental impasse, followed by (ii) restructuring of the problem representation, which leads to (iii) a deeper understanding of the problem, and finally culminates in (iv) an "Aha!" feeling of suddenness and obviousness of the solution. However, until now no efforts have been made to investigate the neural mechanisms of these constituent features of insight in a unified framework. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 5 | 2% |
| Italy | 4 | 1% |
| Germany | 4 | 1% |
| Austria | 2 | <1% |
| Switzerland | 2 | <1% |
| Israel | 2 | <1% |
| India | 2 | <1% |
| Brazil | 2 | <1% |
| Other | 6 | 2% |
| Unknown | 240 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 26% |
| Researcher | 39 | 14% |
| Student > Master | 34 | 12% |
| Student > Bachelor | 14 | 5% |
| Professor > Associate Professor | 14 | 5% |
| Other | 63 | 23% |
| Unknown | 40 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 89 | 32% |
| Neuroscience | 26 | 9% |
| Computer Science | 20 | 7% |
| Agricultural and Biological Sciences | 18 | 7% |
| Engineering | 15 | 5% |
| Other | 55 | 20% |
| Unknown | 52 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 01 August 2021.
All research outputs
#618,256
of 22,699,621 outputs
Outputs from PLOS ONE
#8,727
of 193,796 outputs
Outputs of similar age
#1,629
of 155,157 outputs
Outputs of similar age from PLOS ONE
#13
of 240 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,796 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 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 155,157 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 240 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 94% of its contemporaries.