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The Brexit Botnet and User-Generated Hyperpartisan News

Overview of attention for article published in Social Science Computer Review, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 859)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
23 news outlets
blogs
3 blogs
policy
5 policy sources
twitter
281 X users
facebook
2 Facebook pages
wikipedia
2 Wikipedia pages
googleplus
1 Google+ user
reddit
20 Redditors
bluesky
15 Bluesky users
podcasts
1 podcast

Readers on

mendeley
478 Mendeley
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Article details
Title
The Brexit Botnet and User-Generated Hyperpartisan News
Published in
Social Science Computer Review, October 2017
DOI 10.1177/0894439317734157
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 281 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 478 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 478 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 78 16%
Student > Master 62 13%
Student > Doctoral Student 36 8%
Student > Bachelor 36 8%
Researcher 35 7%
Other 78 16%
Unknown 153 32%
Readers by discipline
Readers by discipline Count As %
Social Sciences 135 28%
Computer Science 69 14%
Business, Management and Accounting 42 9%
Arts and Humanities 17 4%
Engineering 10 2%
Other 46 10%
Unknown 159 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 447. 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 13 October 2026.
All research outputs
#79,886
of 34,591,678 outputs
Outputs from Social Science Computer Review
#3
of 859 outputs
Outputs of similar age
#1,350
of 364,471 outputs
Outputs of similar age from Social Science Computer Review
#1
of 13 outputs
Altmetric has tracked 34,591,678 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.3. This one has done particularly well, scoring higher than 99% 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 364,471 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% 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 particularly well, scoring higher than 92% of its contemporaries.