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Spanish semantic feature production norms for 400 concrete concepts

Overview of attention for article published in Behavior Research Methods, August 2016
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Title
Spanish semantic feature production norms for 400 concrete concepts
Published in
Behavior Research Methods, August 2016
DOI 10.3758/s13428-016-0777-2
Pubmed ID
Authors

Jorge Vivas, Leticia Vivas, Ana Comesaña, Ana García Coni, Agostina Vorano

Abstract

Semantic feature production norms provide many quantitative measures of different feature and concept variables that are necessary to solve some debates surrounding the nature of the organization, both normal and pathological, of semantic memory. Despite the current existence of norms for different languages, there are still no published norms in Spanish. This article presents a new set of norms collected from 810 participants for 400 living and nonliving concepts among Spanish speakers. These norms consist of empirical collections of features that participants used to describe the concepts. Four files were elaborated: a concept-feature file, a concept-concept matrix, a feature-feature matrix, and a significantly correlated features file. We expect that these norms will be useful for researchers in the fields of experimental psychology, neuropsychology, and psycholinguistics.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Master 4 16%
Researcher 4 16%
Professor 2 8%
Professor > Associate Professor 2 8%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Psychology 11 44%
Linguistics 3 12%
Neuroscience 2 8%
Business, Management and Accounting 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 7 28%
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 August 2016.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Behavior Research Methods
#2,099
of 2,525 outputs
Outputs of similar age
#336,907
of 378,559 outputs
Outputs of similar age from Behavior Research Methods
#39
of 49 outputs
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