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Hyper-active gap filling

Overview of attention for article published in Frontiers in Psychology, April 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
2 Facebook pages

Citations

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61 Dimensions

Readers on

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91 Mendeley
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Title
Hyper-active gap filling
Published in
Frontiers in Psychology, April 2015
DOI 10.3389/fpsyg.2015.00384
Pubmed ID
Authors

Akira Omaki, Ellen F. Lau, Imogen Davidson White, Myles L. Dakan, Aaron Apple, Colin Phillips

Abstract

Much work has demonstrated that speakers of verb-final languages are able to construct rich syntactic representations in advance of verb information. This may reflect general architectural properties of the language processor, or it may only reflect a language-specific adaptation to the demands of verb-finality. The present study addresses this issue by examining whether speakers of a verb-medial language (English) wait to consult verb transitivity information before constructing filler-gap dependencies, where internal arguments are fronted and hence precede the verb. This configuration makes it possible to investigate whether the parser actively makes representational commitments on the gap position before verb transitivity information becomes available. A key prediction of the view that rich pre-verbal structure building is a general architectural property is that speakers of verb-medial languages should predictively construct dependencies in advance of verb transitivity information, and therefore that disruption should be observed when the verb has intransitive subcategorization frames that are incompatible with the predicted structure. In three reading experiments (self-paced and eye-tracking) that manipulated verb transitivity, we found evidence for reading disruption when the verb was intransitive, although no such reading difficulty was observed when the critical verb was embedded inside a syntactic island structure, which blocks filler-gap dependency completion. These results are consistent with the hypothesis that in English, as in verb-final languages, information from preverbal noun phrases is sufficient to trigger active dependency completion without having access to verb transitivity information.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Romania 1 1%
Unknown 88 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Student > Master 16 18%
Student > Doctoral Student 7 8%
Professor 6 7%
Student > Bachelor 6 7%
Other 22 24%
Unknown 14 15%
Readers by discipline Count As %
Linguistics 45 49%
Psychology 11 12%
Neuroscience 5 5%
Computer Science 2 2%
Social Sciences 2 2%
Other 8 9%
Unknown 18 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 25 May 2015.
All research outputs
#3,916,673
of 22,799,071 outputs
Outputs from Frontiers in Psychology
#6,583
of 29,709 outputs
Outputs of similar age
#50,142
of 264,200 outputs
Outputs of similar age from Frontiers in Psychology
#150
of 468 outputs
Altmetric has tracked 22,799,071 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29,709 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done well, scoring higher than 77% 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 264,200 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 468 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 67% of its contemporaries.