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Using machine learning for efficient flexible regression adjustment in economic experiments

Overview of attention for article published in Econometric Reviews, August 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 211)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
23 X users

Readers on

mendeley
18 Mendeley
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Title
Using machine learning for efficient flexible regression adjustment in economic experiments
Published in
Econometric Reviews, August 2024
DOI 10.1080/07474938.2024.2373446
Authors

John A. List, Ian Muir, Gregory Sun

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 22%
Student > Ph. D. Student 4 22%
Librarian 1 6%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 6 33%
Readers by discipline Count As %
Economics, Econometrics and Finance 8 44%
Business, Management and Accounting 2 11%
Social Sciences 2 11%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 21 August 2024.
All research outputs
#2,448,476
of 26,483,923 outputs
Outputs from Econometric Reviews
#7
of 211 outputs
Outputs of similar age
#27,254
of 284,897 outputs
Outputs of similar age from Econometric Reviews
#1
of 12 outputs
Altmetric has tracked 26,483,923 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 284,897 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 90% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.