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Detecting misinformation in online social networks using cognitive psychology

Overview of attention for article published in Human-centric Computing and Information Sciences, September 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
225 Mendeley
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Title
Detecting misinformation in online social networks using cognitive psychology
Published in
Human-centric Computing and Information Sciences, September 2014
DOI 10.1186/s13673-014-0014-x
Authors

K P Krishna Kumar, G Geethakumari

Twitter Demographics

The data shown below were collected from the profiles of 6 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 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Cyprus 1 <1%
Denmark 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 220 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 23%
Student > Master 47 21%
Student > Bachelor 29 13%
Researcher 21 9%
Student > Doctoral Student 14 6%
Other 34 15%
Unknown 28 12%
Readers by discipline Count As %
Computer Science 80 36%
Social Sciences 38 17%
Psychology 26 12%
Engineering 11 5%
Arts and Humanities 7 3%
Other 30 13%
Unknown 33 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 March 2020.
All research outputs
#3,834,488
of 15,772,349 outputs
Outputs from Human-centric Computing and Information Sciences
#14
of 56 outputs
Outputs of similar age
#100,813
of 389,038 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#2
of 7 outputs
Altmetric has tracked 15,772,349 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 75% 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 389,038 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 73% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.