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Mixing messages: How candidates vary in their use of Twitter

Overview of attention for article published in Journal of Information Technology & Politics, September 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
93 Mendeley
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Title
Mixing messages: How candidates vary in their use of Twitter
Published in
Journal of Information Technology & Politics, September 2020
DOI 10.1080/19331681.2020.1814929
Authors

Jeremy Gelman, Steven Lloyd Wilson, Constanza Sanhueza Petrarca

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 93 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 13%
Student > Master 10 11%
Researcher 5 5%
Student > Doctoral Student 5 5%
Professor 4 4%
Other 14 15%
Unknown 43 46%
Readers by discipline Count As %
Social Sciences 14 15%
Business, Management and Accounting 10 11%
Computer Science 8 9%
Unspecified 4 4%
Economics, Econometrics and Finance 4 4%
Other 9 10%
Unknown 44 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 September 2020.
All research outputs
#6,747,155
of 25,462,162 outputs
Outputs from Journal of Information Technology & Politics
#197
of 426 outputs
Outputs of similar age
#139,831
of 426,421 outputs
Outputs of similar age from Journal of Information Technology & Politics
#8
of 11 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 53% 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 426,421 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 67% 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 is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.