↓ Skip to main content

Toward Neurodiversity: How Conversation Analysis Can Contribute to a New Approach to Social Communication Assessment.

Overview of attention for article published in Language, Speech & Hearing Services in Schools, December 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog
twitter
35 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
56 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
Toward Neurodiversity: How Conversation Analysis Can Contribute to a New Approach to Social Communication Assessment.
Published in
Language, Speech & Hearing Services in Schools, December 2022
DOI 10.1044/2022_lshss-22-00041
Pubmed ID
Authors

Betty Yu, Laura Sterponi

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 9%
Student > Bachelor 5 9%
Student > Ph. D. Student 4 7%
Unspecified 2 4%
Researcher 2 4%
Other 5 9%
Unknown 33 59%
Readers by discipline Count As %
Nursing and Health Professions 5 9%
Psychology 4 7%
Unspecified 2 4%
Medicine and Dentistry 2 4%
Social Sciences 2 4%
Other 4 7%
Unknown 37 66%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 11 September 2023.
All research outputs
#1,404,348
of 26,352,576 outputs
Outputs from Language, Speech & Hearing Services in Schools
#60
of 900 outputs
Outputs of similar age
#30,884
of 504,519 outputs
Outputs of similar age from Language, Speech & Hearing Services in Schools
#4
of 28 outputs
Altmetric has tracked 26,352,576 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 93% 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 504,519 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.