↓ Skip to main content

The Chinese Lexicon Project: A repository of lexical decision behavioral responses for 2,500 Chinese characters

Overview of attention for article published in Behavior Research Methods, June 2013
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
100 Mendeley
Title
The Chinese Lexicon Project: A repository of lexical decision behavioral responses for 2,500 Chinese characters
Published in
Behavior Research Methods, June 2013
DOI 10.3758/s13428-013-0355-9
Pubmed ID
Authors

Wei Ping Sze, Susan J. Rickard Liow, Melvin J. Yap

Abstract

The Chinese language has more native speakers than any other language, but research on the reading of Chinese characters is still not as well-developed as it is for the reading of words in alphabetic languages. Two areas notably lacking are the paucity of megastudies in Chinese and the relatively infrequent use of the lexical decision paradigm to investigate single-character recognition. The Chinese Lexicon Project, described in this article, is a database of lexical decision latencies for 2,500 Chinese single characters in simplified script, collected from a sample of native mainland Chinese (Mandarin) speakers (N = 35). This resource will provide a valuable adjunct to influential mega-databases, such as the English, French, and Dutch Lexicon Projects. Using two separate analyses, some advantages associated with megastudies are exemplified. These include the selection of the strongest measure to represent Chinese character frequency (Cai & Brysbaert's (PLoS ONE 5(6): e10729, 2010) subtitle contextual diversity frequency count), and the conducting of virtual studies to replicate and clarify existing findings. The unique morpho-syllabic nature of the Chinese writing system makes it a valuable case study for functional language contrasts. Moreover, this is the first publicly available large-scale repository of behavioral responses pertaining to Chinese language processing (the behavioral dataset is attached to this article, as a supplemental file available for download). For these reasons, the data should be of substantial interest to psychologists, linguists, and other researchers.

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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Germany 1 1%
Unknown 98 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 19%
Researcher 16 16%
Student > Bachelor 11 11%
Student > Master 10 10%
Lecturer 7 7%
Other 14 14%
Unknown 23 23%
Readers by discipline Count As %
Psychology 28 28%
Linguistics 24 24%
Arts and Humanities 6 6%
Social Sciences 4 4%
Nursing and Health Professions 3 3%
Other 10 10%
Unknown 25 25%
Attention Score in Context

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 09 July 2013.
All research outputs
#20,653,708
of 25,371,288 outputs
Outputs from Behavior Research Methods
#1,979
of 2,524 outputs
Outputs of similar age
#158,371
of 207,734 outputs
Outputs of similar age from Behavior Research Methods
#14
of 15 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,524 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 16th percentile – i.e., 16% 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 207,734 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.