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Attention Score in Context
Double/debiased machine learning for treatment and structural parameters
Econometrics Journal, January 2018
Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, James Robins
The data shown below were collected from the profiles of 88 X users who shared this research output. Click here to find out more about how the information was compiled.
|United Arab Emirates||1||1%|
|Members of the public||54||61%|
|Science communicators (journalists, bloggers, editors)||1||1%|
The data shown below were compiled from readership statistics for 812 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Ph. D. Student||209||26%|
|Student > Master||84||10%|
|Student > Doctoral Student||45||6%|
|Readers by discipline||Count||As %|
|Economics, Econometrics and Finance||211||26%|
|Business, Management and Accounting||43||5%|
Attention Score in Context
This research output has an Altmetric Attention Score of 106. 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.
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Altmetric has tracked 24,901,761 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 260 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. 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 453,552 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 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