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Partisan asymmetries in online political activity

Overview of attention for article published in EPJ Data Science, June 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 455)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
17 news outlets
blogs
4 blogs
policy
2 policy sources
twitter
28 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

dimensions_citation
218 Dimensions

Readers on

mendeley
248 Mendeley
citeulike
1 CiteULike
Title
Partisan asymmetries in online political activity
Published in
EPJ Data Science, June 2012
DOI 10.1140/epjds6
Authors

Michael D Conover, Bruno Gonçalves, Alessandro Flammini, Filippo Menczer

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Switzerland 4 2%
Germany 2 <1%
Netherlands 2 <1%
Spain 2 <1%
Portugal 1 <1%
France 1 <1%
Italy 1 <1%
Brazil 1 <1%
Other 6 2%
Unknown 224 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 17%
Student > Master 41 17%
Researcher 38 15%
Student > Bachelor 20 8%
Student > Doctoral Student 15 6%
Other 54 22%
Unknown 38 15%
Readers by discipline Count As %
Social Sciences 87 35%
Computer Science 44 18%
Physics and Astronomy 21 8%
Psychology 12 5%
Economics, Econometrics and Finance 6 2%
Other 34 14%
Unknown 44 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 199. 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 10 September 2022.
All research outputs
#201,284
of 25,670,640 outputs
Outputs from EPJ Data Science
#8
of 455 outputs
Outputs of similar age
#886
of 178,322 outputs
Outputs of similar age from EPJ Data Science
#2
of 8 outputs
Altmetric has tracked 25,670,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.1. This one has done particularly well, scoring higher than 98% 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 178,322 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% 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. This one has scored higher than 6 of them.