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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 232)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
policy
2 policy sources
twitter
89 tweeters
q&a
1 Q&A thread

Citations

dimensions_citation
416 Dimensions

Readers on

mendeley
635 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 89 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 635 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 635 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 28%
Student > Master 74 12%
Researcher 70 11%
Student > Doctoral Student 39 6%
Other 30 5%
Other 104 16%
Unknown 141 22%
Readers by discipline Count As %
Economics, Econometrics and Finance 181 29%
Mathematics 51 8%
Computer Science 46 7%
Social Sciences 36 6%
Business, Management and Accounting 31 5%
Other 104 16%
Unknown 186 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 101. 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 01 July 2022.
All research outputs
#324,594
of 21,753,060 outputs
Outputs from Econometrics Journal
#3
of 232 outputs
Outputs of similar age
#7,891
of 286,681 outputs
Outputs of similar age from Econometrics Journal
#1
of 5 outputs
Altmetric has tracked 21,753,060 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 232 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 286,681 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 97% 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