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Exploring AI for intercultural communication: open conversation

Overview of attention for article published in Applied Linguistics Review, July 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 180)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
35 X users

Readers on

mendeley
11 Mendeley
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Title
Exploring AI for intercultural communication: open conversation
Published in
Applied Linguistics Review, July 2024
DOI 10.1515/applirev-2024-0186
Authors

Hua Zhu, David Wei Dai, Adam Brandt, Guanliang Chen, Giuliana Ferri, Spencer Hazel, Chris Jenks, Rodney Jones, John O’Regan, Shungo Suzuki

Timeline

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 9%
Professor > Associate Professor 1 9%
Lecturer 1 9%
Researcher 1 9%
Student > Postgraduate 1 9%
Other 2 18%
Unknown 4 36%
Readers by discipline Count As %
Social Sciences 3 27%
Linguistics 3 27%
Arts and Humanities 1 9%
Unspecified 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 24 September 2024.
All research outputs
#1,860,234
of 26,800,077 outputs
Outputs from Applied Linguistics Review
#14
of 180 outputs
Outputs of similar age
#24,427
of 310,260 outputs
Outputs of similar age from Applied Linguistics Review
#1
of 9 outputs
Altmetric has tracked 26,800,077 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 180 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 92% 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 310,260 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 92% of its contemporaries.
We're also able to compare this research output to 9 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