↓ Skip to main content

Changes in semantic fluency across childhood: Normative data from Australian-English speakers

Overview of attention for article published in International Journal of Speech-Language Pathology, January 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 118)
  • High Attention Score compared to outputs of the same age (83rd percentile)

Mentioned by

twitter
16 X users

Readers on

mendeley
61 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.
Article details
Title
Changes in semantic fluency across childhood: Normative data from Australian-English speakers
Published in
International Journal of Speech-Language Pathology, January 2017
DOI 10.1080/17549507.2016.1276214
Pubmed ID
Authors
Abstract

Verbal fluency tests are often used as part of an assessment battery to investigate children's lexical knowledge as well as executive function skills. To date, however, issues surrounding consistency of measurement cloud comparisons across studies, with the developmental performance of Australian-English speaking children also currently lacking. This study tracked verbal fluency development as measured by two semantic fluency tasks that included coding of fluency, clustering and switching type responses. Participants included 355 typically developing Australian-English speaking children (4-10 years) and 46 young adults. Total fluency was determined by the number of words produced for each category (Animals or Food), minus repetitions and rule violations. Semantic clusters (words generated within a subcategory) were coded while switches between single words or subcategories were differentiated and coded as either hard or cluster switches. Fluency showed consistent improvement over age. Cluster Switches and Hard Switches showed some evidence of a plateau in performance relative to fluency, but in opposite direction. Other measures showed no strong trends over age. Results were similar for both semantic categories. Our results highlight the rich information available within a semantic fluency task and the importance of differentiating hard and cluster switches in paediatric samples.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 6 10%
Student > Doctoral Student 5 8%
Professor 3 5%
Researcher 3 5%
Other 9 15%
Unknown 20 33%
Readers by discipline
Readers by discipline Count As %
Psychology 17 28%
Linguistics 7 11%
Nursing and Health Professions 5 8%
Medicine and Dentistry 4 7%
Neuroscience 3 5%
Other 4 7%
Unknown 21 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 January 2018.
All research outputs
#3,928,576
of 27,263,163 outputs
Outputs from International Journal of Speech-Language Pathology
#19
of 118 outputs
Outputs of similar age
#69,224
of 426,629 outputs
Outputs of similar age from International Journal of Speech-Language Pathology
#1
of 3 outputs
Altmetric has tracked 27,263,163 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 94% 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 426,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 3 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