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User-Generated Content and Its Effect on Technical Communication

Overview of attention for article published in IEEE Transactions on Professional Communication, December 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters

Readers on

mendeley
1 Mendeley
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Title
User-Generated Content and Its Effect on Technical Communication
Published in
IEEE Transactions on Professional Communication, December 2019
DOI 10.1109/tpc.2019.2946982
Authors

Josephine Walwema, Hilary Sarat-St. Peter, Felicia Chong

Twitter Demographics

The data shown below were collected from the profiles of 2 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Social Sciences 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 November 2019.
All research outputs
#9,380,997
of 16,531,225 outputs
Outputs from IEEE Transactions on Professional Communication
#115
of 178 outputs
Outputs of similar age
#190,475
of 394,030 outputs
Outputs of similar age from IEEE Transactions on Professional Communication
#3
of 4 outputs
Altmetric has tracked 16,531,225 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 178 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 394,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.