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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 (#9 of 987,676)
  • 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
9416 tweeters
facebook
1 Facebook page
reddit
7 Redditors

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
159 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

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 9,416 tweeters 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 26 16%
Student > Master 17 11%
Student > Bachelor 7 4%
Other 6 4%
Other 28 18%
Unknown 40 25%
Readers by discipline Count As %
Computer Science 33 21%
Social Sciences 21 13%
Medicine and Dentistry 9 6%
Business, Management and Accounting 8 5%
Design 6 4%
Other 36 23%
Unknown 46 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4635. 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 22 September 2023.
All research outputs
#903
of 24,503,201 outputs
Outputs from arXiv
#9
of 987,676 outputs
Outputs of similar age
#58
of 432,736 outputs
Outputs of similar age from arXiv
#2
of 33,623 outputs
Altmetric has tracked 24,503,201 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 987,676 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 432,736 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 33,623 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.