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Machine Learning for Social Science: An Agnostic Approach

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

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
112 X users

Citations

dimensions_citation
119 Dimensions

Readers on

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

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 112 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 376 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 376 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 18%
Researcher 41 11%
Student > Master 35 9%
Student > Bachelor 25 7%
Student > Doctoral Student 19 5%
Other 60 16%
Unknown 127 34%
Readers by discipline Count As %
Social Sciences 128 34%
Computer Science 21 6%
Business, Management and Accounting 13 3%
Economics, Econometrics and Finance 13 3%
Psychology 12 3%
Other 50 13%
Unknown 139 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 74. 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 22 April 2023.
All research outputs
#582,781
of 25,587,485 outputs
Outputs from Annual Review of Political Science
#73
of 530 outputs
Outputs of similar age
#17,173
of 453,420 outputs
Outputs of similar age from Annual Review of Political Science
#3
of 8 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 530 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 42.2. This one has done well, scoring higher than 86% 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 453,420 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 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.