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Machine Learning for Social Science: An Agnostic Approach

Overview of attention for article published in Annual Review of Political Science, May 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#36 of 455)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

twitter
119 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
157 Mendeley
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Title
Machine Learning for Social Science: An Agnostic Approach
Published in
Annual Review of Political Science, May 2021
DOI 10.1146/annurev-polisci-053119-015921
Authors

Justin Grimmer, Margaret E. Roberts, Brandon M. Stewart

Twitter Demographics

The data shown below were collected from the profiles of 119 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 29%
Student > Master 20 13%
Student > Bachelor 16 10%
Researcher 14 9%
Student > Doctoral Student 13 8%
Other 22 14%
Unknown 26 17%
Readers by discipline Count As %
Social Sciences 83 53%
Computer Science 13 8%
Business, Management and Accounting 8 5%
Economics, Econometrics and Finance 6 4%
Psychology 4 3%
Other 12 8%
Unknown 31 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 08 November 2021.
All research outputs
#354,063
of 20,072,700 outputs
Outputs from Annual Review of Political Science
#36
of 455 outputs
Outputs of similar age
#10,803
of 315,619 outputs
Outputs of similar age from Annual Review of Political Science
#1
of 1 outputs
Altmetric has tracked 20,072,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th 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 31.1. This one has done particularly well, scoring higher than 92% 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 315,619 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 96% of its contemporaries.
We're also able to compare this research output to 1 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