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Understanding Delegation Through Machine Learning: A Method and Application to the European Union

Overview of attention for article published in American Political Science Review, November 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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
twitter
18 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
27 Mendeley
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Title
Understanding Delegation Through Machine Learning: A Method and Application to the European Union
Published in
American Political Science Review, November 2019
DOI 10.1017/s0003055419000522
Authors

L. JASON ANASTASOPOULOS, ANTHONY M. BERTELLI

Twitter Demographics

The data shown below were collected from the profiles of 18 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 30%
Student > Doctoral Student 4 15%
Student > Master 4 15%
Professor > Associate Professor 2 7%
Professor 2 7%
Other 2 7%
Unknown 5 19%
Readers by discipline Count As %
Social Sciences 20 74%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 December 2019.
All research outputs
#1,097,171
of 15,864,479 outputs
Outputs from American Political Science Review
#384
of 1,727 outputs
Outputs of similar age
#37,636
of 326,933 outputs
Outputs of similar age from American Political Science Review
#11
of 16 outputs
Altmetric has tracked 15,864,479 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.6. This one has done well, scoring higher than 77% 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 326,933 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 88% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.