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Emotional Arousal Predicts Voting on the U.S. Supreme Court

Overview of attention for article published in Political Analysis, November 2018
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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 (82nd percentile)

Mentioned by

twitter
20 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Emotional Arousal Predicts Voting on the U.S. Supreme Court
Published in
Political Analysis, November 2018
DOI 10.1017/pan.2018.47
Authors

Bryce J. Dietrich, Ryan D. Enos, Maya Sen

Twitter Demographics

The data shown below were collected from the profiles of 20 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Student > Master 9 18%
Professor 5 10%
Student > Doctoral Student 4 8%
Student > Bachelor 4 8%
Other 7 14%
Unknown 6 12%
Readers by discipline Count As %
Social Sciences 30 61%
Decision Sciences 3 6%
Economics, Econometrics and Finance 2 4%
Psychology 2 4%
Computer Science 1 2%
Other 1 2%
Unknown 10 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 12 May 2020.
All research outputs
#1,776,868
of 16,577,281 outputs
Outputs from Political Analysis
#129
of 414 outputs
Outputs of similar age
#55,612
of 324,095 outputs
Outputs of similar age from Political Analysis
#8
of 8 outputs
Altmetric has tracked 16,577,281 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 414 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.2. This one has gotten more attention than average, scoring higher than 69% 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 324,095 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 82% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.