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Fighting fake news: a role for computational social science in the fight against digital misinformation

Overview of attention for article published in Journal of Computational Social Science, November 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
125 Mendeley
Title
Fighting fake news: a role for computational social science in the fight against digital misinformation
Published in
Journal of Computational Social Science, November 2017
DOI 10.1007/s42001-017-0005-6
Authors

Giovanni Luca Ciampaglia

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 19%
Student > Master 22 18%
Researcher 11 9%
Student > Bachelor 9 7%
Lecturer 8 6%
Other 21 17%
Unknown 30 24%
Readers by discipline Count As %
Social Sciences 32 26%
Computer Science 27 22%
Psychology 11 9%
Arts and Humanities 4 3%
Medicine and Dentistry 3 2%
Other 16 13%
Unknown 32 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 January 2019.
All research outputs
#6,698,541
of 23,636,051 outputs
Outputs from Journal of Computational Social Science
#1
of 1 outputs
Outputs of similar age
#130,647
of 441,409 outputs
Outputs of similar age from Journal of Computational Social Science
#1
of 1 outputs
Altmetric has tracked 23,636,051 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 441,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them