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A model of electoral alliances in highly fragmented party systems

Overview of attention for article published in Journal of Theoretical Politics, October 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
7 X users

Citations

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3 Dimensions

Readers on

mendeley
5 Mendeley
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Title
A model of electoral alliances in highly fragmented party systems
Published in
Journal of Theoretical Politics, October 2020
DOI 10.1177/0951629820963182
Authors

Marcelo de C Griebeler, Roberta Carnelos Resende

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Chemical Engineering 1 20%
Business, Management and Accounting 1 20%
Social Sciences 1 20%
Unknown 2 40%
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 19 October 2020.
All research outputs
#6,202,078
of 23,342,092 outputs
Outputs from Journal of Theoretical Politics
#68
of 267 outputs
Outputs of similar age
#134,581
of 416,636 outputs
Outputs of similar age from Journal of Theoretical Politics
#2
of 2 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 267 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 74% 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 416,636 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 67% 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.