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Explicating Cues: A Typology for Understanding Emerging Media Technologies

Overview of attention for article published in Journal of Computer-Mediated Communication, December 2019
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
12 X users
facebook
1 Facebook page

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Explicating Cues: A Typology for Understanding Emerging Media Technologies
Published in
Journal of Computer-Mediated Communication, December 2019
DOI 10.1093/jcmc/zmz023
Authors

Kun Xu, Tony Liao

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 81 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 30%
Student > Master 11 14%
Researcher 8 10%
Professor > Associate Professor 5 6%
Student > Doctoral Student 3 4%
Other 12 15%
Unknown 18 22%
Readers by discipline Count As %
Social Sciences 33 41%
Business, Management and Accounting 6 7%
Arts and Humanities 5 6%
Psychology 5 6%
Computer Science 3 4%
Other 4 5%
Unknown 25 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 27 August 2023.
All research outputs
#3,587,574
of 24,336,902 outputs
Outputs from Journal of Computer-Mediated Communication
#255
of 682 outputs
Outputs of similar age
#79,564
of 438,511 outputs
Outputs of similar age from Journal of Computer-Mediated Communication
#5
of 11 outputs
Altmetric has tracked 24,336,902 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.2. This one has gotten more attention than average, scoring higher than 62% 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 438,511 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 81% of its contemporaries.
We're also able to compare this research output to 11 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 63% of its contemporaries.