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Mendeley readers
Attention Score in Context
| Title |
Using event-related potentials to measure phrase boundary perception in English
|
|---|---|
| Published in |
BMC Neuroscience, November 2014
|
| DOI | 10.1186/s12868-014-0129-z |
| Pubmed ID | |
| Authors |
Varghese Peter, Genevieve McArthur, Stephen Crain |
| Abstract |
BackgroundThe closure positive shift (CPS) event related potential (ERP) is commonly used as a neural measure of phrase boundary perception in speech. The present study investigated whether the CPS was elicited by acoustic cues at phrase boundaries in English. ERPs were recorded when participants listened passively to sentences with either early or late phrase boundaries.ResultsThe closure positive shift (CPS) ERP was elicited at both early and late phrase boundaries. However, the latency, amplitude, and scalp distribution of these passive CPS ERPs in English sentences differed to active CPS ERPs measured in non-English sentences in previous studies.ConclusionsThese results show that acoustic cues at the phrase boundaries in English are sufficient to elicit the CPS, and suggest that different processes might be involved in the generation of the CPS in active and passive conditions. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 5% |
| Colombia | 1 | 2% |
| Unknown | 38 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 27% |
| Student > Ph. D. Student | 8 | 20% |
| Student > Master | 5 | 12% |
| Other | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 12 | 29% |
| Psychology | 9 | 22% |
| Arts and Humanities | 3 | 7% |
| Neuroscience | 3 | 7% |
| Engineering | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 7 | 17% |
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 03 December 2014.
All research outputs
#16,508,799
of 25,081,419 outputs
Outputs from BMC Neuroscience
#680
of 1,288 outputs
Outputs of similar age
#217,294
of 374,531 outputs
Outputs of similar age from BMC Neuroscience
#8
of 18 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,288 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 43rd percentile – i.e., 43% of its peers scored the same or lower than it.
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 374,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.