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The ageing neighbourhood: phonological density in naming

Overview of attention for article published in Language, Cognition and Neuroscience, September 2013
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2 X users

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Title
The ageing neighbourhood: phonological density in naming
Published in
Language, Cognition and Neuroscience, September 2013
DOI 10.1080/01690965.2013.837495
Pubmed ID
Authors

Jean K. Gordon, Jake C. Kurczek

Abstract

Aging affects the ability to retrieve words for production, despite maintainence of lexical knowledge. In this study, we investigate the influence of lexical variables on picture naming accuracy and latency in adults ranging in age from 22 to 86 years. In particular, we explored the influence of phonological neighborhood density, which has been shown to exert competitive effects on word recognition, but to facilitate word production, a finding with implications for models of the lexicon. Naming responses were slower and less accurate for older participants, as expected. Target frequency also played a strong role, with facilitative frequency effects becoming stronger with age. Neighborhood density interacted with age, such that naming was slower for high-density than low-density items, but only for older subjects. Explaining this finding within an interactive activation model suggests that, as we age, the ability of activated neighbors to facilitate target production diminishes, while their activation puts them in competition with the target.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 6%
United Kingdom 1 2%
Canada 1 2%
Australia 1 2%
Unknown 42 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Researcher 10 21%
Student > Postgraduate 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Linguistics 15 31%
Psychology 15 31%
Neuroscience 4 8%
Arts and Humanities 2 4%
Social Sciences 2 4%
Other 3 6%
Unknown 7 15%
Attention Score in Context

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 25 February 2014.
All research outputs
#15,517,312
of 25,373,627 outputs
Outputs from Language, Cognition and Neuroscience
#352
of 643 outputs
Outputs of similar age
#117,895
of 213,508 outputs
Outputs of similar age from Language, Cognition and Neuroscience
#7
of 16 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 643 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 42nd percentile – i.e., 42% 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 213,508 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 50% of its contemporaries.