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Attention Score in Context
| Title |
Perceptual chunking and its effect on memory in speech processing: ERP and behavioral evidence
|
|---|---|
| Published in |
Frontiers in Psychology, March 2014
|
| DOI | 10.3389/fpsyg.2014.00220 |
| Pubmed ID | |
| Authors |
Annie C. Gilbert, Victor J. Boucher, Boutheina Jemel |
| Abstract |
We examined how perceptual chunks of varying size in utterances can influence immediate memory of heard items (monosyllabic words). Using behavioral measures and event-related potentials (N400) we evaluated the quality of the memory trace for targets taken from perceived temporal groups (TGs) of three and four items. Variations in the amplitude of the N400 showed a better memory trace for items presented in TGs of three compared to those in groups of four. Analyses of behavioral responses along with P300 components also revealed effects of chunk position in the utterance. This is the first study to measure the online effects of perceptual chunks on the memory trace of spoken items. Taken together, the N400 and P300 responses demonstrate that the perceptual chunking of speech facilitates information buffering and a processing on a chunk-by-chunk basis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Portugal | 1 | 2% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 26% |
| Student > Master | 11 | 17% |
| Researcher | 9 | 14% |
| Student > Doctoral Student | 7 | 11% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 9 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 23% |
| Linguistics | 14 | 22% |
| Computer Science | 5 | 8% |
| Arts and Humanities | 4 | 6% |
| Neuroscience | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 15 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 19 March 2014.
All research outputs
#20,879,746
of 23,498,521 outputs
Outputs from Frontiers in Psychology
#25,133
of 31,329 outputs
Outputs of similar age
#193,257
of 224,879 outputs
Outputs of similar age from Frontiers in Psychology
#173
of 198 outputs
Altmetric has tracked 23,498,521 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 1st percentile – i.e., 1% 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 224,879 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.