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What Makes Tweetorials Tick: How Experts Communicate Complex Topics on Twitter

Overview of attention for article published in Proceedings of the ACM on Human-Computer Interaction, October 2021
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
8 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
17 Mendeley
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Title
What Makes Tweetorials Tick: How Experts Communicate Complex Topics on Twitter
Published in
Proceedings of the ACM on Human-Computer Interaction, October 2021
DOI 10.1145/3479566
Authors

Katy Ilonka Gero, Vivian Liu, Sarah Huang, Jennifer Lee, Lydia B. Chilton

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 18%
Student > Master 3 18%
Student > Ph. D. Student 2 12%
Researcher 2 12%
Librarian 1 6%
Other 0 0%
Unknown 6 35%
Readers by discipline Count As %
Computer Science 4 24%
Unspecified 3 18%
Social Sciences 2 12%
Medicine and Dentistry 2 12%
Unknown 6 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 22 February 2022.
All research outputs
#2,112,855
of 21,843,592 outputs
Outputs from Proceedings of the ACM on Human-Computer Interaction
#113
of 734 outputs
Outputs of similar age
#60,102
of 424,743 outputs
Outputs of similar age from Proceedings of the ACM on Human-Computer Interaction
#23
of 153 outputs
Altmetric has tracked 21,843,592 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 734 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done well, scoring higher than 84% 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 424,743 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 85% of its contemporaries.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.