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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 (#1 of 165)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
twitter
30 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
161 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 30 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 161 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 40%
Student > Master 18 11%
Unspecified 15 9%
Researcher 15 9%
Student > Doctoral Student 13 8%
Other 36 22%
Readers by discipline Count As %
Economics, Econometrics and Finance 69 43%
Unspecified 30 19%
Mathematics 20 12%
Computer Science 10 6%
Social Sciences 9 6%
Other 23 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 16 July 2019.
All research outputs
#635,221
of 13,389,617 outputs
Outputs from Econometrics Journal
#1
of 165 outputs
Outputs of similar age
#22,793
of 265,720 outputs
Outputs of similar age from Econometrics Journal
#1
of 5 outputs
Altmetric has tracked 13,389,617 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 165 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 99% 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 265,720 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 91% 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