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Double/debiased machine learning for treatment and structural parameters

Overview of attention for article published in Econometrics Journal, January 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 207)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
48 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
402 Mendeley
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Title
Double/debiased machine learning for treatment and structural parameters
Published in
Econometrics Journal, January 2018
DOI 10.1111/ectj.12097
Authors

Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, James Robins

Twitter Demographics

The data shown below were collected from the profiles of 48 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 402 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 402 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 138 34%
Student > Master 46 11%
Researcher 43 11%
Student > Doctoral Student 31 8%
Other 19 5%
Other 59 15%
Unknown 66 16%
Readers by discipline Count As %
Economics, Econometrics and Finance 145 36%
Mathematics 40 10%
Computer Science 26 6%
Business, Management and Accounting 24 6%
Social Sciences 21 5%
Other 51 13%
Unknown 95 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 18 March 2021.
All research outputs
#529,321
of 17,489,166 outputs
Outputs from Econometrics Journal
#3
of 207 outputs
Outputs of similar age
#14,874
of 275,370 outputs
Outputs of similar age from Econometrics Journal
#1
of 5 outputs
Altmetric has tracked 17,489,166 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 207 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 275,370 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 94% of its contemporaries.
We're also able to compare this research output to 5 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