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Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Overview of attention for article published in arXiv, May 2021
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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 (#8 of 1,016,916)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
26 news outlets
blogs
4 blogs
twitter
9342 X users
facebook
1 Facebook page
reddit
7 Redditors

Citations

dimensions_citation
81 Dimensions

Readers on

mendeley
165 Mendeley
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Title
Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online
Published in
arXiv, May 2021
DOI 10.1145/3411764.3445211
Authors

Lee, Crystal, Yang, Tanya, Inchoco, Gabrielle D, Jones, Graham M., Satyanarayan, Arvind

X Demographics

X Demographics

The data shown below were collected from the profiles of 9,342 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 22%
Researcher 26 16%
Student > Master 17 10%
Other 6 4%
Professor > Associate Professor 6 4%
Other 30 18%
Unknown 44 27%
Readers by discipline Count As %
Computer Science 32 19%
Social Sciences 20 12%
Medicine and Dentistry 9 5%
Business, Management and Accounting 8 5%
Design 6 4%
Other 40 24%
Unknown 50 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4600. 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 29 November 2023.
All research outputs
#917
of 24,955,994 outputs
Outputs from arXiv
#8
of 1,016,916 outputs
Outputs of similar age
#58
of 434,581 outputs
Outputs of similar age from arXiv
#1
of 33,566 outputs
Altmetric has tracked 24,955,994 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 1,016,916 research outputs from this source. They receive a mean Attention Score of 4.1. 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 434,581 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 33,566 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 99% of its contemporaries.