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Semi-supervised graph labelling reveals increasing partisanship in the United States Congress

Overview of attention for article published in Applied Network Science, August 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
7 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Semi-supervised graph labelling reveals increasing partisanship in the United States Congress
Published in
Applied Network Science, August 2019
DOI 10.1007/s41109-019-0185-5
Authors

Max Glonek, Jonathan Tuke, Lewis Mitchell, Nigel Bean

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 25%
Student > Doctoral Student 2 17%
Student > Bachelor 1 8%
Professor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Mathematics 3 25%
Computer Science 2 17%
Agricultural and Biological Sciences 1 8%
Psychology 1 8%
Unknown 5 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 September 2019.
All research outputs
#7,760,047
of 24,287,598 outputs
Outputs from Applied Network Science
#209
of 533 outputs
Outputs of similar age
#130,193
of 345,174 outputs
Outputs of similar age from Applied Network Science
#19
of 34 outputs
Altmetric has tracked 24,287,598 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 533 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 60% 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 345,174 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 61% of its contemporaries.
We're also able to compare this research output to 34 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.