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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Visual mismatch negativity: a predictive coding view
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, September 2014
|
| DOI | 10.3389/fnhum.2014.00666 |
| Pubmed ID | |
| Authors |
Gábor Stefanics, Jan Kremláček, István Czigler |
X Demographics
The data shown below were collected from the profiles of 24 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 Kingdom | 4 | 17% |
| United States | 2 | 8% |
| Sri Lanka | 1 | 4% |
| Mexico | 1 | 4% |
| Greece | 1 | 4% |
| Canada | 1 | 4% |
| China | 1 | 4% |
| Netherlands | 1 | 4% |
| Unknown | 12 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 63% |
| Scientists | 8 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 449 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Australia | 3 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Hungary | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 4 | <1% |
| Unknown | 431 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 116 | 26% |
| Student > Master | 67 | 15% |
| Researcher | 59 | 13% |
| Student > Bachelor | 54 | 12% |
| Student > Doctoral Student | 24 | 5% |
| Other | 64 | 14% |
| Unknown | 65 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 139 | 31% |
| Neuroscience | 111 | 25% |
| Agricultural and Biological Sciences | 29 | 6% |
| Medicine and Dentistry | 20 | 4% |
| Computer Science | 11 | 2% |
| Other | 41 | 9% |
| Unknown | 98 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 31 December 2021.
All research outputs
#2,296,563
of 25,837,817 outputs
Outputs from Frontiers in Human Neuroscience
#1,059
of 7,753 outputs
Outputs of similar age
#23,025
of 248,443 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#46
of 263 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. 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 248,443 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 90% of its contemporaries.
We're also able to compare this research output to 263 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.