↓ Skip to main content

Neighborhood Frequency Effect in Chinese Word Recognition: Evidence from Naming and Lexical Decision

Overview of attention for article published in Journal of Psycholinguistic Research, April 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

wikipedia
4 Wikipedia pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
34 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Neighborhood Frequency Effect in Chinese Word Recognition: Evidence from Naming and Lexical Decision
Published in
Journal of Psycholinguistic Research, April 2016
DOI 10.1007/s10936-016-9431-5
Pubmed ID
Authors

Meng-Feng Li, Xin-Yu Gao, Tai-Li Chou, Jei-Tun Wu

Abstract

Neighborhood frequency is a crucial variable to know the nature of word recognition. Different from alphabetic scripts, neighborhood frequency in Chinese is usually confounded by component character frequency and neighborhood size. Three experiments were designed to explore the role of the neighborhood frequency effect in Chinese and the stimuli were all two-character words. This effect was evaluated on targets with- and without-higher frequency neighbors with neighborhood size matched. Among the experiments, the patterns of the leading character frequency effect and word frequency effect in the naming and lexical decision tasks were compared. The results implied an inhibitory neighborhood frequency effect in Chinese word recognition. Accordingly, a possible cognitive mechanism of the neighborhood frequency effect was thus proposed.

Mendeley readers

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 %
India 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 15%
Researcher 5 15%
Student > Master 5 15%
Student > Bachelor 4 12%
Professor 2 6%
Other 3 9%
Unknown 10 29%
Readers by discipline Count As %
Linguistics 8 24%
Psychology 4 12%
Neuroscience 3 9%
Arts and Humanities 2 6%
Social Sciences 1 3%
Other 3 9%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 November 2022.
All research outputs
#7,567,797
of 23,081,466 outputs
Outputs from Journal of Psycholinguistic Research
#71
of 354 outputs
Outputs of similar age
#107,839
of 299,655 outputs
Outputs of similar age from Journal of Psycholinguistic Research
#1
of 6 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 354 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 69% 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 299,655 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them