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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
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
287 Mendeley
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 14 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 287 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 282 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 21%
Student > Master 56 20%
Student > Bachelor 36 13%
Researcher 27 9%
Student > Doctoral Student 14 5%
Other 43 15%
Unknown 52 18%
Readers by discipline Count As %
Computer Science 92 32%
Social Sciences 44 15%
Psychology 31 11%
Engineering 13 5%
Arts and Humanities 9 3%
Other 37 13%
Unknown 61 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 September 2021.
All research outputs
#2,439,057
of 20,523,918 outputs
Outputs from Human-centric Computing and Information Sciences
#11
of 76 outputs
Outputs of similar age
#60,724
of 415,630 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#2
of 7 outputs
Altmetric has tracked 20,523,918 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 76 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 415,630 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 85% 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.