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A model of opinion and propagation structure polarization in social media

Overview of attention for article published in Computational Social Networks, January 2020
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
77 Mendeley
Title
A model of opinion and propagation structure polarization in social media
Published in
Computational Social Networks, January 2020
DOI 10.1186/s40649-019-0076-z
Authors

Hafizh A. Prasetya, Tsuyoshi Murata

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 25%
Student > Master 11 14%
Student > Bachelor 7 9%
Student > Doctoral Student 6 8%
Researcher 3 4%
Other 9 12%
Unknown 22 29%
Readers by discipline Count As %
Social Sciences 14 18%
Computer Science 11 14%
Business, Management and Accounting 6 8%
Economics, Econometrics and Finance 3 4%
Physics and Astronomy 3 4%
Other 13 17%
Unknown 27 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 August 2020.
All research outputs
#15,623,687
of 23,230,825 outputs
Outputs from Computational Social Networks
#25
of 40 outputs
Outputs of similar age
#274,690
of 456,864 outputs
Outputs of similar age from Computational Social Networks
#2
of 3 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 4.0. This one scored the same or higher as 15 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 456,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.