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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Electroencephalogram-Based Single-Trial Detection of Language Expectation Violations in Listening to Speech
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, March 2019
|
| DOI | 10.3389/fncom.2019.00015 |
| Pubmed ID | |
| Authors |
Hiroki Tanaka, Hiroki Watanabe, Hayato Maki, Sakti Sakriani, Satoshi Nakamura |
X Demographics
The data shown below were collected from the profiles of 4 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 | 3 | 75% |
| Switzerland | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 6 | 18% |
| Student > Bachelor | 3 | 9% |
| Professor > Associate Professor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 8 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 5 | 15% |
| Neuroscience | 5 | 15% |
| Computer Science | 5 | 15% |
| Psychology | 4 | 12% |
| Engineering | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 10 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 April 2019.
All research outputs
#13,954,310
of 23,138,859 outputs
Outputs from Frontiers in Computational Neuroscience
#618
of 1,360 outputs
Outputs of similar age
#184,441
of 351,128 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 26 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,360 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 53% 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 351,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.