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X Demographics
Mendeley readers
Attention Score in Context
| 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
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 21% |
| Japan | 7 | 8% |
| Netherlands | 4 | 4% |
| Germany | 3 | 3% |
| Chile | 2 | 2% |
| United Kingdom | 2 | 2% |
| France | 2 | 2% |
| Italy | 1 | 1% |
| Denmark | 1 | 1% |
| Other | 10 | 11% |
| Unknown | 38 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 62% |
| Scientists | 32 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Unknown | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 877 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 877 | 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 | 133 | 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 | 124 | 14% |
| Unknown | 312 | 36% |
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
#386,403
of 25,813,008 outputs
Outputs from Econometrics Journal
#4
of 281 outputs
Outputs of similar age
#8,855
of 454,538 outputs
Outputs of similar age from Econometrics Journal
#1
of 7 outputs
Altmetric has tracked 25,813,008 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 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. 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 454,538 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