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Investigating the potential of civil disagreement to decrease issue polarization in China

Overview of attention for article published in Policy and Internet, March 2023
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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4 Mendeley
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Title
Investigating the potential of civil disagreement to decrease issue polarization in China
Published in
Policy and Internet, March 2023
DOI 10.1002/poi3.338
Authors

Tianru Guan, Tianyang Liu, Xiaotong Chen

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Other 1 25%
Lecturer > Senior Lecturer 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Social Sciences 1 25%
Unknown 2 50%
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 22 March 2023.
All research outputs
#20,788,175
of 25,540,105 outputs
Outputs from Policy and Internet
#319
of 336 outputs
Outputs of similar age
#319,450
of 427,605 outputs
Outputs of similar age from Policy and Internet
#4
of 4 outputs
Altmetric has tracked 25,540,105 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 427,605 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.