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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 (#4 of 269)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
blogs
3 blogs
policy
6 policy sources
twitter
89 X users
q&a
1 Q&A thread

Citations

dimensions_citation
1269 Dimensions

Readers on

mendeley
876 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 89 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 876 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 876 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 221 25%
Researcher 90 10%
Student > Master 87 10%
Student > Doctoral Student 47 5%
Student > Bachelor 38 4%
Other 132 15%
Unknown 261 30%
Readers by discipline Count As %
Economics, Econometrics and Finance 221 25%
Mathematics 63 7%
Computer Science 61 7%
Social Sciences 51 6%
Business, Management and Accounting 45 5%
Other 123 14%
Unknown 312 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 111. 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 26 September 2023.
All research outputs
#382,732
of 25,727,480 outputs
Outputs from Econometrics Journal
#4
of 269 outputs
Outputs of similar age
#8,829
of 454,899 outputs
Outputs of similar age from Econometrics Journal
#1
of 7 outputs
Altmetric has tracked 25,727,480 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 269 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. 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 454,899 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 98% of its contemporaries.
We're also able to compare this research output to 7 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