| Title |
The Centre for Speech, Language and the Brain (CSLB) concept property norms
|
|---|---|
| Published in |
Behavior Research Methods, December 2013
|
| DOI | 10.3758/s13428-013-0420-4 |
| Pubmed ID | |
| Authors |
Barry J. Devereux, Lorraine K. Tyler, Jeroen Geertzen, Billi Randall |
| Abstract |
Theories of the representation and processing of concepts have been greatly enhanced by models based on information available in semantic property norms. This information relates both to the identity of the features produced in the norms and to their statistical properties. In this article, we introduce a new and large set of property norms that are designed to be a more flexible tool to meet the demands of many different disciplines interested in conceptual knowledge representation, from cognitive psychology to computational linguistics. As well as providing all features listed by 2 or more participants, we also show the considerable linguistic variation that underlies each normalized feature label and the number of participants who generated each variant. Our norms are highly comparable with the largest extant set (McRae, Cree, Seidenberg, & McNorgan, 2005) in terms of the number and distribution of features. In addition, we show how the norms give rise to a coherent category structure. We provide these norms in the hope that the greater detail available in the Centre for Speech, Language and the Brain norms should further promote the development of models of conceptual knowledge. The norms can be downloaded at www.csl.psychol.cam.ac.uk/propertynorms . |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 75% |
| United States | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 116 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 23% |
| Researcher | 22 | 18% |
| Student > Master | 10 | 8% |
| Professor | 9 | 7% |
| Student > Bachelor | 9 | 7% |
| Other | 21 | 17% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 35 | 29% |
| Computer Science | 16 | 13% |
| Neuroscience | 13 | 11% |
| Linguistics | 12 | 10% |
| Agricultural and Biological Sciences | 3 | 2% |
| Other | 8 | 7% |
| Unknown | 35 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 April 2021.
All research outputs
#7,756,687
of 25,487,317 outputs
Outputs from Behavior Research Methods
#949
of 2,540 outputs
Outputs of similar age
#85,590
of 320,920 outputs
Outputs of similar age from Behavior Research Methods
#8
of 24 outputs
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We're also able to compare this research output to 24 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 66% of its contemporaries.