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The Mask of Neutrality: Judicial Partisan Calculation and Legislative Redistricting

Overview of attention for article published in Law & Policy, July 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
3 Mendeley
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Title
The Mask of Neutrality: Judicial Partisan Calculation and Legislative Redistricting
Published in
Law & Policy, July 2019
DOI 10.1111/lapo.12132
Authors

Jordan Carr Peterson

Twitter Demographics

The data shown below were collected from the profiles of 4 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Bachelor 1 33%
Readers by discipline Count As %
Social Sciences 2 67%
Engineering 1 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 July 2019.
All research outputs
#11,483,413
of 19,882,255 outputs
Outputs from Law & Policy
#167
of 217 outputs
Outputs of similar age
#134,409
of 277,324 outputs
Outputs of similar age from Law & Policy
#1
of 3 outputs
Altmetric has tracked 19,882,255 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 217 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 22nd percentile – i.e., 22% 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 277,324 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 50% of its contemporaries.
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. This one has scored higher than all of them