You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Causal mediation analysis with double machine learning
|
|---|---|
| Published in |
Econometrics Journal, January 2022
|
| DOI | 10.1093/ectj/utac003 |
| Authors |
Helmut Farbmacher, Martin Huber, Lukáš Lafférs, Henrika Langen, Martin Spindler |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 3 | 13% |
| Australia | 2 | 9% |
| Netherlands | 1 | 4% |
| United Kingdom | 1 | 4% |
| Turkey | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 14 | 61% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 61% |
| Scientists | 9 | 39% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 23% |
| Researcher | 7 | 11% |
| Student > Master | 6 | 9% |
| Other | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 20 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 11 | 17% |
| Mathematics | 8 | 12% |
| Business, Management and Accounting | 4 | 6% |
| Computer Science | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 15 | 23% |
| Unknown | 22 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 13 June 2022.
All research outputs
#2,266,092
of 23,393,453 outputs
Outputs from Econometrics Journal
#16
of 244 outputs
Outputs of similar age
#56,692
of 509,114 outputs
Outputs of similar age from Econometrics Journal
#3
of 6 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 244 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done particularly well, scoring higher than 93% 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 509,114 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.