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Measuring the Competitiveness of Elections

Overview of attention for article published in Political Analysis, July 2019
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
14 tweeters

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Measuring the Competitiveness of Elections
Published in
Political Analysis, July 2019
DOI 10.1017/pan.2019.28
Authors

Gary W. Cox, Jon H. Fiva, Daniel M. Smith

Twitter Demographics

The data shown below were collected from the profiles of 14 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Master 9 19%
Student > Doctoral Student 6 13%
Student > Bachelor 3 6%
Researcher 3 6%
Other 6 13%
Unknown 8 17%
Readers by discipline Count As %
Social Sciences 33 69%
Economics, Econometrics and Finance 4 8%
Business, Management and Accounting 2 4%
Computer Science 1 2%
Unknown 8 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 09 December 2019.
All research outputs
#2,758,957
of 21,131,454 outputs
Outputs from Political Analysis
#174
of 492 outputs
Outputs of similar age
#54,006
of 281,118 outputs
Outputs of similar age from Political Analysis
#2
of 9 outputs
Altmetric has tracked 21,131,454 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 64% 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 281,118 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 80% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.