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Fact-checking strategies to limit urban legends spreading in a segregated society

Overview of attention for article published in Applied Network Science, December 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
Title
Fact-checking strategies to limit urban legends spreading in a segregated society
Published in
Applied Network Science, December 2019
DOI 10.1007/s41109-019-0233-1
Authors

Marcella Tambuscio, Giancarlo Ruffo

Twitter Demographics

The data shown below were collected from the profiles of 24 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Master 2 8%
Professor 1 4%
Other 2 8%
Unknown 8 32%
Readers by discipline Count As %
Social Sciences 5 20%
Computer Science 5 20%
Mathematics 2 8%
Physics and Astronomy 2 8%
Decision Sciences 1 4%
Other 1 4%
Unknown 9 36%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 October 2020.
All research outputs
#1,730,894
of 19,152,115 outputs
Outputs from Applied Network Science
#54
of 389 outputs
Outputs of similar age
#55,857
of 413,371 outputs
Outputs of similar age from Applied Network Science
#18
of 120 outputs
Altmetric has tracked 19,152,115 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one has done well, scoring higher than 86% 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 413,371 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 86% of its contemporaries.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.