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Nationalist language ideologies in tweets about the 2019 Canadian general election

Overview of attention for article published in Discourse, Context and Media, March 2021
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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 (#27 of 288)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
26 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Nationalist language ideologies in tweets about the 2019 Canadian general election
Published in
Discourse, Context and Media, March 2021
DOI 10.1016/j.dcm.2020.100447
Authors

Rachelle Vessey

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Lecturer 4 12%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Lecturer > Senior Lecturer 2 6%
Other 4 12%
Unknown 13 39%
Readers by discipline Count As %
Linguistics 6 18%
Social Sciences 4 12%
Computer Science 4 12%
Arts and Humanities 2 6%
Business, Management and Accounting 1 3%
Other 3 9%
Unknown 13 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 16 April 2021.
All research outputs
#2,014,055
of 25,387,668 outputs
Outputs from Discourse, Context and Media
#27
of 288 outputs
Outputs of similar age
#54,402
of 451,361 outputs
Outputs of similar age from Discourse, Context and Media
#2
of 13 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 288 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 90% 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 451,361 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 87% of its contemporaries.
We're also able to compare this research output to 13 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.