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Everything to everyone? Not when you are internally divided

Overview of attention for article published in Party Politics, December 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Everything to everyone? Not when you are internally divided
Published in
Party Politics, December 2018
DOI 10.1177/1354068818812222
Authors

Roni Lehrer, Nick Lin

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 3 9%
Lecturer > Senior Lecturer 2 6%
Lecturer 2 6%
Student > Doctoral Student 2 6%
Other 7 21%
Unknown 9 26%
Readers by discipline Count As %
Social Sciences 21 62%
Environmental Science 1 3%
Economics, Econometrics and Finance 1 3%
Business, Management and Accounting 1 3%
Unknown 10 29%
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 05 February 2020.
All research outputs
#6,511,556
of 23,122,481 outputs
Outputs from Party Politics
#501
of 909 outputs
Outputs of similar age
#135,609
of 437,292 outputs
Outputs of similar age from Party Politics
#9
of 17 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 909 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 44th percentile – i.e., 44% 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 437,292 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 68% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.