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Detection and visualization of misleading content on Twitter

Overview of attention for article published in International Journal of Multimedia Information Retrieval, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
209 Mendeley
Title
Detection and visualization of misleading content on Twitter
Published in
International Journal of Multimedia Information Retrieval, December 2017
DOI 10.1007/s13735-017-0143-x
Authors

Christina Boididou, Symeon Papadopoulos, Markos Zampoglou, Lazaros Apostolidis, Olga Papadopoulou, Yiannis Kompatsiaris

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 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 209 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 19%
Student > Ph. D. Student 25 12%
Student > Bachelor 14 7%
Researcher 12 6%
Student > Doctoral Student 7 3%
Other 29 14%
Unknown 82 39%
Readers by discipline Count As %
Computer Science 73 35%
Social Sciences 20 10%
Engineering 9 4%
Arts and Humanities 5 2%
Business, Management and Accounting 4 2%
Other 12 6%
Unknown 86 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 23 May 2022.
All research outputs
#6,353,779
of 23,009,818 outputs
Outputs from International Journal of Multimedia Information Retrieval
#6
of 33 outputs
Outputs of similar age
#126,290
of 439,388 outputs
Outputs of similar age from International Journal of Multimedia Information Retrieval
#2
of 2 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 33 research outputs from this source. They receive a mean Attention Score of 4.2. This one scored the same or higher as 27 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 439,388 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 70% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.